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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
Requirements
- 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
- 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
Skills
- Python
- Data processing
- Data analysis
- Data evaluation
- Robotics data
- Imitation learning
- Reinforcement learning
- Vision-language-action models
- Communication
Location
- San Francisco
- Singapore
- Remote
Work Type
- Full-time
- Remote
Experience Level
- We prioritize technical aptitude and learning potential over years of experience.
Salary/Compensations
- San Francisco (and other major US cities): $135,000 - $230,000
- Singapore: $100,000 - $175,000
- Rest of world: $80,000 - $175,000
Benefits
- 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
- Equinox membership
- 401k
- Commuter benefits (US employees)
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
About the Company
- HUD'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.
- Team Size: ~25 people currently, mostly full-time in-person, but some remote.
- 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.