01 Multi-National Matrix 2026-10-29

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  9        "description": "<h1>About HUD</h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2>About the role</h2><p style=\"min-height:1.5em\">We\u2019re looking for a Design Engineer to design and build experiences across HUD\u2019s products. You\u2019ll help people create and evaluate environments, understand how agents behave, improve training data, and use the results to decide what to do next. These workflows can be technically dense; your work will make them clear without hiding the details that matter.</p><p style=\"min-height:1.5em\">You\u2019ll talk with users, work closely with research and engineering, and ship interfaces that improve through use and feedback. The role calls for both practical execution and a point of view: choices about what to show, how to explain results, and where to give people control will shape how humans work with increasingly capable AI agents.</p><h2>Responsibilities</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design and build interfaces across HUD\u2019s platform and marketplace, from early concepts through shipped product</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback understandable and actionable</p></li><li><p style=\"min-height:1.5em\">Work with research and engineering to turn complex RL and evaluation workflows into useful tools</p></li><li><p style=\"min-height:1.5em\">Talk with users, observe where they struggle, and use what you learn to improve the product</p></li><li><p style=\"min-height:1.5em\">Develop thoughtful interaction patterns and maintain a high bar for usability, visual quality, and implementation</p></li></ul><h2>Experience</h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong product and interaction design judgment, especially for complex tools or workflows</p></li><li><p style=\"min-height:1.5em\">Front-end engineering skills and the ability to turn your designs into working product interfaces</p></li><li><p style=\"min-height:1.5em\">A record of shipping products, learning from users, and improving what you built</p></li><li><p style=\"min-height:1.5em\">The ability to understand technical concepts well enough to present them clearly to users</p></li><li><p style=\"min-height:1.5em\">Good judgment about when to ship quickly and when an experience needs more care</p></li><li><p style=\"min-height:1.5em\">Clear communication and comfort working closely with engineers, researchers, and users</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience designing developer tools, data-rich products, or research software</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience creating reusable interface patterns as a product grows</p></li><li><p style=\"min-height:1.5em\">Experience working independently in an early-stage company</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2>Team &amp; company details</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2>Logistics</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">401k with a 4% match</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. <em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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 49        "description": "<h1>About HUD</h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><br />About the role</h2><p style=\"min-height:1.5em\">HUD has two products. On the <strong>HUD Platform</strong>, AI teams build environments, run agents on tasks, and review traces with our QA agent. <strong>DataVendor</strong> is a marketplace where vendors sell training data, mostly codebases, to frontier AI labs. Both are full of interlinked concepts, and the job is to make them clear enough that people can act.</p><p style=\"min-height:1.5em\">You'll join our product and design engineering team, working with our design lead, and own features end to end. You'll find the problem in real usage, design the flow directly in code, connect it to our APIs, and ship it. Most near-term work is on DataVendor.</p><h2><br />Problems you'll work on (as an example)</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Make a long agent trace readable in seconds: turn a stream of tool calls, screenshots and scores into a view where the failing step is obvious.</p></li><li><p style=\"min-height:1.5em\">Compare evaluation runs people actually trust: design the tables and diffs labs rely on when choosing which model to ship.</p></li><li><p style=\"min-height:1.5em\">Shorten the path from sign-up to first successful run: find drop-offs with PostHog replays and funnels, fix them, and measure the result.</p></li><li><p style=\"min-height:1.5em\">Make a two-sided data marketplace feel simple: make listing, estimation, offers and proposals clear for both vendors and buyers.</p></li><li><p style=\"min-height:1.5em\">Grow the design system as you ship: feed every new surface back into shared primitives and patterns so the next one ships faster.</p></li></ul><h2>What you'll do</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Ship features to production in Next.js 16, React 19, TypeScript, Tailwind v4, Motion, TanStack Query, Zustand, Clerk, Bun, and a Python/FastAPI backend. From interaction design to API integration, covering complex UX flows, empty, loading and error states.</p></li><li><p style=\"min-height:1.5em\">Design in code. Product UI is built and refined in the browser. Our codebase and design-system pages are the source of truth, and Figma is for exploration and brand work.</p></li><li><p style=\"min-height:1.5em\">Learn from real usage: watch PostHog session replays, ship behind feature flags, talk to users and our customer-facing team, then improve what you built.</p></li><li><p style=\"min-height:1.5em\">Work across the API boundary with backend engineers: shape the data a screen needs, and make small changes to our Python services when a feature calls for it, with review.</p></li><li><p style=\"min-height:1.5em\">Extend each product's design system (they are separate on purpose) and keep a high bar for motion, responsiveness, accessibility and copy.</p></li></ul><h2>You may be a good fit if you</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Have shipped and maintained a product that real people use, and can show what you changed after watching them use it.</p></li><li><p style=\"min-height:1.5em\">Write production React and TypeScript, and can read, debug and review code yourself, including code your AI tools wrote.</p></li><li><p style=\"min-height:1.5em\">Have strong interaction and visual judgment for complex, data-heavy tools.</p></li><li><p style=\"min-height:1.5em\">Are comfortable enough across the stack to integrate REST APIs, reason about data models, and make modest backend changes.</p></li><li><p style=\"min-height:1.5em\">Use AI coding agents (Claude Code, Cursor, Codex) every day.</p></li><li><p style=\"min-height:1.5em\">Explain your decisions clearly to engineers, product owners and founders on fast-paced live calls.</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong> built developer tools, marketplaces or data-heavy products; worked with AI agents, evaluations or training data; built component libraries or design systems in code; worked at an early-stage startup.</p><h2><br />How to apply and what to expect</h2><p style=\"min-height:1.5em\">Send a portfolio or links to shipped work; live products beat Figma screens. In the first call you'll walk through one thing you shipped: what you personally did, how you learned from users, and what happened after launch. Then a founder interview, then a paid three-day remote work trial in our codebase. The role is full-time with an immediate start.</p><h2><br />Team &amp; company details</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2>Logistics</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">401k with a 4% match</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. <em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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 89        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re hiring a Technical Writer to tell the stories behind what people build with HUD. You\u2019ll turn customer and partner work, product developments, and research into clear, technically grounded content that helps AI engineers, researchers, and technical leaders understand what HUD enables and why it matters. You should be comfortable talking shop with technical customers and partners and explaining the substance without losing the reader.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Write technically accurate content across formats, including customer and partner case studies, technical articles, product explainers, launch materials, and posts for X and LinkedIn</p></li><li><p style=\"min-height:1.5em\">Work with customers, partners, and internal experts to uncover what they built, how it works, and what changed; turn interviews, demos, and results into stories with concrete evidence</p></li><li><p style=\"min-height:1.5em\">Learn HUD\u2019s platform and marketplace well enough to explain product, research, and real customer workflows</p></li><li><p style=\"min-height:1.5em\">Help founders and the team communicate product vision, technical insights, and wins on the platform in HUD\u2019s voice</p></li><li><p style=\"min-height:1.5em\">Propose new topics and formats, manage drafts and feedback through publication, and use reader engagement and input from the GTM team to improve what we publish</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A portfolio of work that shows technical depth, clear explanations, and strong storytelling. <strong>You must include a link to your portfolio in your application, with at least one piece of technical writing.</strong></p></li><li><p style=\"min-height:1.5em\">Enough technical fluency to talk shop with and ask intelligent questions to AI engineers, researchers, and technical customers and partners</p></li><li><p style=\"min-height:1.5em\">Strong research and interviewing skills - you can turn technical conversations and research materials into a useful story</p></li><li><p style=\"min-height:1.5em\">Good editorial judgment about what matters to the reader, how to structure an argument, and when a diagram, example, or demo would explain something better</p></li><li><p style=\"min-height:1.5em\">The ability to move from an ambiguous brief to a polished draft, incorporate technical feedback, and manage several pieces of content at once</p></li><li><p style=\"min-height:1.5em\">Genuine excitement about frontier models and telling HUD\u2019s story</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Familiarity with RL, environments, evals, benchmarks, or post-training data</p></li><li><p style=\"min-height:1.5em\">Published case studies or technical content for AI/ML products, developer tools, or infrastructure companies</p></li><li><p style=\"min-height:1.5em\">A track record of writing social content or ghostwriting for technical founders that earns attention from relevant audiences</p></li><li><p style=\"min-height:1.5em\">Hands-on work with technical products, code, or demos, and thoughtful use of AI tools for research and writing</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $100,000 - $165,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $120,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $120,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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129        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re hiring a Technical Writer to tell the stories behind what people build with HUD. You\u2019ll turn customer and partner work, product developments, and research into clear, technically grounded content that helps AI engineers, researchers, and technical leaders understand what HUD enables and why it matters. You should be comfortable talking shop with technical customers and partners and explaining the substance without losing the reader.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Write technically accurate content across formats, including customer and partner case studies, technical articles, product explainers, launch materials, and posts for X and LinkedIn</p></li><li><p style=\"min-height:1.5em\">Work with customers, partners, and internal experts to uncover what they built, how it works, and what changed; turn interviews, demos, and results into stories with concrete evidence</p></li><li><p style=\"min-height:1.5em\">Learn HUD\u2019s platform and marketplace well enough to explain product, research, and real customer workflows</p></li><li><p style=\"min-height:1.5em\">Help founders and the team communicate product vision, technical insights, and wins on the platform in HUD\u2019s voice</p></li><li><p style=\"min-height:1.5em\">Propose new topics and formats, manage drafts and feedback through publication, and use reader engagement and input from the GTM team to improve what we publish</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A portfolio of work that shows technical depth, clear explanations, and strong storytelling. <strong>You must include a link to your portfolio in your application, with at least one piece of technical writing.</strong></p></li><li><p style=\"min-height:1.5em\">Enough technical fluency to talk shop with and ask intelligent questions to AI engineers, researchers, and technical customers and partners</p></li><li><p style=\"min-height:1.5em\">Strong research and interviewing skills - you can turn technical conversations and research materials into a useful story</p></li><li><p style=\"min-height:1.5em\">Good editorial judgment about what matters to the reader, how to structure an argument, and when a diagram, example, or demo would explain something better</p></li><li><p style=\"min-height:1.5em\">The ability to move from an ambiguous brief to a polished draft, incorporate technical feedback, and manage several pieces of content at once</p></li><li><p style=\"min-height:1.5em\">Genuine excitement about frontier models and telling HUD\u2019s story</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Familiarity with RL, environments, evals, benchmarks, or post-training data</p></li><li><p style=\"min-height:1.5em\">Published case studies or technical content for AI/ML products, developer tools, or infrastructure companies</p></li><li><p style=\"min-height:1.5em\">A track record of writing social content or ghostwriting for technical founders that earns attention from relevant audiences</p></li><li><p style=\"min-height:1.5em\">Hands-on work with technical products, code, or demos, and thoughtful use of AI tools for research and writing</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">401k with a 4% match</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $100,000 - $165,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $120,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $120,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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169        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a> is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We\u2019ve raised $16M from top VCs and were YC W25.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD\u2019s platform and marketplace. You\u2019ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.</p><p style=\"min-height:1.5em\">This role combines product judgment, interaction design, and full-stack engineering. You\u2019ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities</p></li><li><p style=\"min-height:1.5em\">Design, prototype, and ship product improvements across HUD\u2019s platform and marketplace, owning work from problem definition through launch and iteration</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows</p></li><li><p style=\"min-height:1.5em\">Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams</p></li><li><p style=\"min-height:1.5em\">Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration</p></li><li><p style=\"min-height:1.5em\">Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information</p></li><li><p style=\"min-height:1.5em\">Interaction design skills and a high bar for clarity and usability in complex, technical workflows</p></li><li><p style=\"min-height:1.5em\">Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them</p></li><li><p style=\"min-height:1.5em\">Comfort talking directly with users and using qualitative feedback and product data to improve what you ship</p></li><li><p style=\"min-height:1.5em\">Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience designing workflows for review, debugging, quality feedback, or other complex operational work</p></li><li><p style=\"min-height:1.5em\">Experience finding and owning product gaps in a growing, cross-functional team</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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209        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD\u2019s platform and marketplace. You\u2019ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.</p><p style=\"min-height:1.5em\">This role combines product judgment, interaction design, and full-stack engineering. You\u2019ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities</p></li><li><p style=\"min-height:1.5em\">Design, prototype, and ship product improvements across HUD\u2019s platform and marketplace, owning work from problem definition through launch and iteration</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows</p></li><li><p style=\"min-height:1.5em\">Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams</p></li><li><p style=\"min-height:1.5em\">Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration</p></li><li><p style=\"min-height:1.5em\">Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information</p></li><li><p style=\"min-height:1.5em\">Interaction design skills and a high bar for clarity and usability in complex, technical workflows</p></li><li><p style=\"min-height:1.5em\">Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them</p></li><li><p style=\"min-height:1.5em\">Comfort talking directly with users and using qualitative feedback and product data to improve what you ship</p></li><li><p style=\"min-height:1.5em\">Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience designing workflows for review, debugging, quality feedback, or other complex operational work</p></li><li><p style=\"min-height:1.5em\">Experience finding and owning product gaps in a growing, cross-functional team</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $80,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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249        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD\u2019s platform and marketplace. You\u2019ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.</p><p style=\"min-height:1.5em\">This role combines product judgment, interaction design, and full-stack engineering. You\u2019ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities</p></li><li><p style=\"min-height:1.5em\">Design, prototype, and ship product improvements across HUD\u2019s platform and marketplace, owning work from problem definition through launch and iteration</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows</p></li><li><p style=\"min-height:1.5em\">Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams</p></li><li><p style=\"min-height:1.5em\">Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration</p></li><li><p style=\"min-height:1.5em\">Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information</p></li><li><p style=\"min-height:1.5em\">Interaction design skills and a high bar for clarity and usability in complex, technical workflows</p></li><li><p style=\"min-height:1.5em\">Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them</p></li><li><p style=\"min-height:1.5em\">Comfort talking directly with users and using qualitative feedback and product data to improve what you ship</p></li><li><p style=\"min-height:1.5em\">Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience designing workflows for review, debugging, quality feedback, or other complex operational work</p></li><li><p style=\"min-height:1.5em\">Experience finding and owning product gaps in a growing, cross-functional team</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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289        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Product Engineer to turn important, cross-cutting product problems into shipped experiences across HUD\u2019s platform and marketplace. You\u2019ll work with our product, design, engineering, research, and GTM teams to understand where environment creators and research teams get stuck, decide what to improve, and build the solution.</p><p style=\"min-height:1.5em\">This role combines product judgment, interaction design, and full-stack engineering. You\u2019ll move from user conversations and early prototypes to production software, making technically dense workflows clear and useful without losing the detail users need.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Talk with users and internal teams to find friction in creating, testing, evaluating, and discovering RL environments; shape those findings into clear product priorities</p></li><li><p style=\"min-height:1.5em\">Design, prototype, and ship product improvements across HUD\u2019s platform and marketplace, owning work from problem definition through launch and iteration</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback easier to understand and act on through thoughtful interfaces and workflows</p></li><li><p style=\"min-height:1.5em\">Build the frontend and backend pieces needed to improve vendor onboarding, environment submission, review, and discovery for research teams</p></li><li><p style=\"min-height:1.5em\">Use user feedback and product signals to assess what works, refine the experience, and help product, design, and engineering make tradeoffs</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">A record of shipping software products end-to-end, from understanding the user problem through implementation and iteration</p></li><li><p style=\"min-height:1.5em\">Strong product judgment: you can identify the problem behind a request, set a useful scope, and make sound tradeoffs with incomplete information</p></li><li><p style=\"min-height:1.5em\">Interaction design skills and a high bar for clarity and usability in complex, technical workflows</p></li><li><p style=\"min-height:1.5em\">Full-stack engineering ability, including building polished web interfaces and the backend services or APIs that support them</p></li><li><p style=\"min-height:1.5em\">Comfort talking directly with users and using qualitative feedback and product data to improve what you ship</p></li><li><p style=\"min-height:1.5em\">Clear communication and the ability to work closely with product managers, designers, engineers, researchers, and other partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with developer tools, data-rich products, marketplaces, or products serving distinct groups of users</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience designing workflows for review, debugging, quality feedback, or other complex operational work</p></li><li><p style=\"min-height:1.5em\">Experience finding and owning product gaps in a growing, cross-functional team</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner for in-office employees</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">401k with a 4% match</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li><li><p style=\"min-height:1.5em\">Two top-floor offices in San Francisco\u2019s Union Square and Singapore\u2019s Raffles Place</p></li><li><p style=\"min-height:1.5em\">Annual travel budget to visit either office</p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $100,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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329        "description": "<h1>About HUD</h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a> is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We\u2019ve raised $16M from top VCs and were YC W25.</p><h2>About the role</h2><p style=\"min-height:1.5em\">We\u2019re looking for a Design Engineer to design and build experiences across HUD\u2019s products. You\u2019ll help people create and evaluate environments, understand how agents behave, improve training data, and use the results to decide what to do next. These workflows can be technically dense; your work will make them clear without hiding the details that matter.</p><p style=\"min-height:1.5em\">You\u2019ll talk with users, work closely with research and engineering, and ship interfaces that improve through use and feedback. The role calls for both practical execution and a point of view: choices about what to show, how to explain results, and where to give people control will shape how humans work with increasingly capable AI agents.</p><h2>Responsibilities</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design and build interfaces across HUD\u2019s platform and marketplace, from early concepts through shipped product</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback understandable and actionable</p></li><li><p style=\"min-height:1.5em\">Work with research and engineering to turn complex RL and evaluation workflows into useful tools</p></li><li><p style=\"min-height:1.5em\">Talk with users, observe where they struggle, and use what you learn to improve the product</p></li><li><p style=\"min-height:1.5em\">Develop thoughtful interaction patterns and maintain a high bar for usability, visual quality, and implementation</p></li></ul><h2>Experience</h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong product and interaction design judgment, especially for complex tools or workflows</p></li><li><p style=\"min-height:1.5em\">Front-end engineering skills and the ability to turn your designs into working product interfaces</p></li><li><p style=\"min-height:1.5em\">A record of shipping products, learning from users, and improving what you built</p></li><li><p style=\"min-height:1.5em\">The ability to understand technical concepts well enough to present them clearly to users</p></li><li><p style=\"min-height:1.5em\">Good judgment about when to ship quickly and when an experience needs more care</p></li><li><p style=\"min-height:1.5em\">Clear communication and comfort working closely with engineers, researchers, and users</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience designing developer tools, data-rich products, or research software</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience creating reusable interface patterns as a product grows</p></li><li><p style=\"min-height:1.5em\">Experience working independently in an early-stage company</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2>Team &amp; company details</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2>Logistics</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. <em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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368        "title": "Research Manager",
369        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a> is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We\u2019ve raised $16M from top VCs and were YC W25.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Research Manager to lead research that makes HUD\u2019s agent training data and evals more useful for improving frontier models. You\u2019ll lead research engineers through ambiguous projects, and turn findings into methods that can be used at scale.</p><p style=\"min-height:1.5em\">You\u2019ll stay close to the technical work while helping the team choose the right questions, run rigorous experiments, and deliver results. This role calls for an understanding of how and why models train: which signals teach useful behavior, where apparent progress is misleading, and how data and eval design can change outcomes.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Set the research direction for data quality, including how HUD measures whether tasks, trajectories, rewards, and evals are reliable and useful for training agents</p></li><li><p style=\"min-height:1.5em\">Lead research engineers from problem definition through experiments, implementation, and clear conclusions; coach them to strengthen technical judgment and execution</p></li><li><p style=\"min-height:1.5em\">Design and review experiments that connect model behavior and failure modes to data, environment, and reward design</p></li><li><p style=\"min-height:1.5em\">Develop methods for validating and improving training data at scale, including trajectory audits, grader checks, and feedback loops</p></li><li><p style=\"min-height:1.5em\">Partner with research engineers, domain experts, and data vendors to turn research insights into better workflows, tools, and quality standards</p></li><li><p style=\"min-height:1.5em\">Communicate findings and tradeoffs clearly so the team can prioritize work and apply what it learns across research areas</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience leading technical research projects to completion, from an open question to evidence, a decision, and a working result</p></li><li><p style=\"min-height:1.5em\">Experience directly managing and mentoring researchers or research engineers while remaining engaged in technical work</p></li><li><p style=\"min-height:1.5em\">A strong understanding of machine learning and reinforcement learning, including how training objectives, data, and feedback shape model behavior</p></li><li><p style=\"min-height:1.5em\">Experience with agent training data, evals, benchmarks, synthetic data, or model evaluation infrastructure</p></li><li><p style=\"min-height:1.5em\">Sound experimental judgment: you can distinguish a useful training signal from a task or metric that only looks convincing</p></li><li><p style=\"min-height:1.5em\">Strong written communication and the ability to explain methods and findings to researchers, engineers, and external partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Built scalable data quality systems or validation pipelines for model training</p></li><li><p style=\"min-height:1.5em\">Experience diagnosing reward hacking, grader errors, or other subtle agent failure modes</p></li><li><p style=\"min-height:1.5em\">Experience translating research findings into tools and processes used by others</p></li><li><p style=\"min-height:1.5em\">Early-stage startup experience and strong communication skills for collaboration across teams and time zones</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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409        "description": "<h1><strong>About HUD</strong></h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a> is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We\u2019ve raised $16M from top VCs and were YC W25.</p><h2><strong>About the role</strong></h2><p style=\"min-height:1.5em\">We\u2019re looking for a Research Manager to lead research that makes HUD\u2019s agent training data and evals more useful for improving frontier models. You\u2019ll lead research engineers through ambiguous projects, and turn findings into methods that can be used at scale.</p><p style=\"min-height:1.5em\">You\u2019ll stay close to the technical work while helping the team choose the right questions, run rigorous experiments, and deliver results. This role calls for an understanding of how and why models train: which signals teach useful behavior, where apparent progress is misleading, and how data and eval design can change outcomes.</p><h2><strong>Responsibilities</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Set the research direction for data quality, including how HUD measures how training data impacts agent behavior and performance after training, and what makes data valuable</p></li><li><p style=\"min-height:1.5em\">Lead synthetic data efforts to understand how various data types can be efficiently transformed into formats useful for training</p></li><li><p style=\"min-height:1.5em\">Lead research engineers from problem definition through experiments, implementation, and clear conclusions; coach them to strengthen technical judgment and execution</p></li><li><p style=\"min-height:1.5em\">Design and review experiments that connect model behavior and failure modes to data, environment, and reward design</p></li><li><p style=\"min-height:1.5em\">Develop methods for validating and improving training data at scale, including trajectory audits, adversarial checks, and feedback loops that help users improve their data</p></li><li><p style=\"min-height:1.5em\">Partner with research engineers, domain experts, and data vendors to turn research insights into better workflows, tools, and quality standards</p></li><li><p style=\"min-height:1.5em\">Communicate findings and tradeoffs clearly so the team can prioritize work and apply what it learns across research areas</p></li></ul><h2><strong>Experience</strong></h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience leading technical research projects to completion, from an open question to evidence, a decision, and a working result</p></li><li><p style=\"min-height:1.5em\">Experience directly managing and mentoring researchers or research engineers while remaining engaged in technical work</p></li><li><p style=\"min-height:1.5em\">A strong understanding of machine learning and reinforcement learning, including how training objectives, data, and feedback shape model behavior</p></li><li><p style=\"min-height:1.5em\">Experience with agent training data, evals, benchmarks, synthetic data, or model evaluation infrastructure</p></li><li><p style=\"min-height:1.5em\">Sound experimental judgment: you can distinguish a useful training signal from a task or metric that only looks convincing</p></li><li><p style=\"min-height:1.5em\">Strong written communication and the ability to explain methods and findings to researchers, engineers, and external partners</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Built scalable data quality systems or validation pipelines for model training</p></li><li><p style=\"min-height:1.5em\">Experience diagnosing reward hacking, grader errors, or other subtle agent failure modes</p></li><li><p style=\"min-height:1.5em\">Experience translating research findings into tools and processes used by others</p></li><li><p style=\"min-height:1.5em\">Early-stage startup experience and strong communication skills for collaboration across teams and time zones</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2><strong>Team &amp; company details</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2><strong>Logistics</strong></h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *<em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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449        "description": "<h1>About HUD</h1><p style=\"min-height:1.5em\"><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://www.hud.ai/\">HUD</a>'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.</p><h2>About the role</h2><p style=\"min-height:1.5em\">We\u2019re looking for a Design Engineer to design and build experiences across HUD\u2019s products. You\u2019ll help people create and evaluate environments, understand how agents behave, improve training data, and use the results to decide what to do next. These workflows can be technically dense; your work will make them clear without hiding the details that matter.</p><p style=\"min-height:1.5em\">You\u2019ll talk with users, work closely with research and engineering, and ship interfaces that improve through use and feedback. The role calls for both practical execution and a point of view: choices about what to show, how to explain results, and where to give people control will shape how humans work with increasingly capable AI agents.</p><h2>Responsibilities</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design and build interfaces across HUD\u2019s platform and marketplace, from early concepts through shipped product</p></li><li><p style=\"min-height:1.5em\">Make agent runs, evaluation results, reward signals, and quality feedback understandable and actionable</p></li><li><p style=\"min-height:1.5em\">Work with research and engineering to turn complex RL and evaluation workflows into useful tools</p></li><li><p style=\"min-height:1.5em\">Talk with users, observe where they struggle, and use what you learn to improve the product</p></li><li><p style=\"min-height:1.5em\">Develop thoughtful interaction patterns and maintain a high bar for usability, visual quality, and implementation</p></li></ul><h2>Experience</h2><p style=\"min-height:1.5em\"><strong>You may be a good fit if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong product and interaction design judgment, especially for complex tools or workflows</p></li><li><p style=\"min-height:1.5em\">Front-end engineering skills and the ability to turn your designs into working product interfaces</p></li><li><p style=\"min-height:1.5em\">A record of shipping products, learning from users, and improving what you built</p></li><li><p style=\"min-height:1.5em\">The ability to understand technical concepts well enough to present them clearly to users</p></li><li><p style=\"min-height:1.5em\">Good judgment about when to ship quickly and when an experience needs more care</p></li><li><p style=\"min-height:1.5em\">Clear communication and comfort working closely with engineers, researchers, and users</p></li></ul><p style=\"min-height:1.5em\"><strong>Strong candidates may also have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience designing developer tools, data-rich products, or research software</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI agents, evaluations, reinforcement learning, or training data</p></li><li><p style=\"min-height:1.5em\">Experience creating reusable interface patterns as a product grows</p></li><li><p style=\"min-height:1.5em\">Experience working independently in an early-stage company</p></li></ul><p style=\"min-height:1.5em\"><em>We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.</em></p><h2>Team &amp; company details</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Team Size</strong>: ~25 people currently, mostly full-time in-person, but some remote.</p></li><li><p style=\"min-height:1.5em\"><strong>Our team:</strong> Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.</p></li><li><p style=\"min-height:1.5em\"><strong>Company stage:</strong> We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.</p></li></ul><h2>Logistics</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Employment</strong>: Full-time.</p></li><li><p style=\"min-height:1.5em\"><strong>Location</strong>: We have offices in San Francisco or Singapore but are open to remote candidates who <strong>can work hours that 70-80% overlap with either San Francisco or Singapore time zones.</strong></p></li><li><p style=\"min-height:1.5em\"><strong>Visa Sponsorship</strong>: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.</p></li><li><p style=\"min-height:1.5em\"><strong>Timeline</strong>: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.</p></li></ul><h2>What we offer</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Competitive compensation</p></li><li><p style=\"min-height:1.5em\">100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)</p></li><li><p style=\"min-height:1.5em\">Lunch and dinner when you\u2019re in the office (in-office employees)</p></li><li><p style=\"min-height:1.5em\">Company-wide holiday break (Christmas Eve to New Year\u2019s Day) on top of PTO and paid holidays</p></li><li><p style=\"min-height:1.5em\">Other perks including an Equinox membership, 401k, and commuter benefits (US employees)</p></li><li><p style=\"min-height:1.5em\">Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. <em>By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.</em></p></li></ul><h2>Compensation</h2><p style=\"min-height:1.5em\">Actual offers are adjusted for experience and location, but our base salary bands are</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">San Francisco (and other major US cities): $130,000 - $225,000</p></li><li><p style=\"min-height:1.5em\">Singapore: $100,000 - $170,000</p></li><li><p style=\"min-height:1.5em\">Rest of world: $80,000 - $170,000</p></li></ul><p style=\"min-height:1.5em\">Due to high volume, we may not actively respond to every application, but feel free to contact us at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"mailto:recruiting@hud.so\">recruiting@hud.so</a> or elsewhere if we missed your application!</p>",
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