Develop datasets and evaluation methods for robotics data to train and evaluate embodied AI systems. Translate research needs into data specifications, build validation tools, and analyze model performance. Requires expertise in robotics, Python, and experience turning research questions into measurable quality criteria.
Key Highlights
Backed by $16M from top VCs and YC (W25)
Work with frontier labs and Fortune 500 companies
Competitive compensation with comprehensive benefits
Key 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
Technical Skills Required
Python
Robotics
Data Analysis
Benefits & Perks
Competitive compensation
100% covered medical, dental, and vision insurance
Lunch and dinner in office
Company-wide holiday break
Equinox membership
401k
Commuter benefits
Unlimited access to AI tools
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Nice to Have
Experience 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
Job Description
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.
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