Research Engineer, Robotics Evals

About HUD

HUDs 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.

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.
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 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
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.
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.
Applications are rolling. 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
~ Due to high volume, we may not actively respond to every application, but feel free to contact us at or elsewhere if we missed your application!