Research Engineer, Robotics Data
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 28, 2026.
About HUD
HUD 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’ve raised $16M from top VCs and were YC W25.
About the role
We’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.
Responsibilities
Research the data needs of robot learning and physical AI systems, and turn them into concrete dataset and evaluation specifications
Define data schemas, annotations, ground truth, and quality standards across robotics data types
Design collection and review protocols that external data providers can execute reliably
Build tools and validation workflows to audit datasets, identify quality issues, and give providers actionable feedback
Run experiments and analyze model behavior to understand how data quality, coverage, and structure affect performance
Work with HUD’s research and engineering teams, and when needed with data vendors and buyers, to improve robotics data offerings
Experience
You may be a good fit if you have:
Experience in robotics, robot learning, embodied AI, or closely related multimodal research
Proficiency in Python and experience building data processing, analysis, or evaluation tools
Experience turning research questions into dataset specifications, experiments, and measurable quality criteria
Strong understanding of what makes robotics data useful for training or evaluation-and where it can be misleading
Attention to detail and the ability to spot subtle errors, coverage gaps, and failure modes in complex data
Experience building research tools or pipelines without a fully prescribed roadmap
Strong candidates may also have:
Worked with robot trajectories, demonstrations, video, sensor data, simulation, or other multimodal robotics datasets
Experience with imitation learning, reinforcement learning, or vision-language-action models
Worked in unstructured problem spaces and take ownership from early research through production deployment
Early-stage startup experience and strong communication skills for collaboration across teams and time zones
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.
Team & company details
Team 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.
Logistics
Employment: 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 offer
Competitive compensation
100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
Lunch and dinner when you’re in the office (in-office employees)
Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
Other perks including an Equinox membership, 401k, and commuter benefits (US 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.
Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!