Research Engineer, Robotics Data

About HUDHUD'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.About the roleWe’re looking for a Research Engineer for our Robotics team to develop the datasets and evals that make robotics data useful for training and evaluating embodied AI systems. You’ll translate open-ended research needs into data specifications, build methods to validate data, and run experiments to understand which data and structures improve model performance.ResponsibilitiesResearch the data needs of robot learning and physical AI systems, and turn them into concrete dataset and evaluation specificationsDefine data schemas, annotations, ground truth, and quality standards across robotics data typesDesign collection and review protocols that external data providers can execute reliablyBuild tools and validation workflows to audit datasets, identify quality issues, and give providers actionable feedbackRun experiments and analyze model behavior to understand how data quality, coverage, and structure affect performanceWork with HUD’s research and engineering teams, and when needed with data vendors and buyers, to improve robotics data offeringsExperienceYou may be a good fit if you have:Experience in robotics, robot learning, embodied AI, or closely related multimodal researchProficiency in Python and experience building data processing, analysis, or evaluation toolsExperience turning research questions into dataset specifications, experiments, and measurable quality criteriaStrong understanding of what makes robotics data useful for training or evaluation—and where it can be misleadingAttention to detail and the ability to spot subtle errors, coverage gaps, and failure modes in complex dataExperience building research tools or pipelines without a fully prescribed roadmapStrong candidates may also have:Worked with robot trajectories, demonstrations, video, sensor data, simulation, or other multimodal robotics datasetsExperience with imitation learning, reinforcement learning, or vision-language-action modelsWorked in unstructured problem spaces and take ownership from early research through production deploymentEarly-stage startup experience and strong communication skills for collaboration across teams and time zonesWe prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.Team & company detailsTeam Size: ~25 people currently, mostly full-time in-person, but some remote.Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand.LogisticsEmployment: Full-time.Location: We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones.Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.What we offerCompetitive compensation100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)Lunch and dinner for in-office employeesCompany-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidaysOther perks including an Equinox membership, 401k, and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *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.Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles PlaceAnnual travel budget to visit either officeCompensationActual offers are adjusted for experience and location, but our base salary bands areSan Francisco (and other major US cities): $135,000 - $230,000Singapore: $100,000 - $175,000Rest of world: $100,000 - $175,000Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!