Research Engineer, Robotics Data
About the role
HUD seeks a Research Engineer for the Robotics Data team to develop robotics datasets and evaluations for embodied AI systems, translating research needs into data specifications, building validation tools, and running experiments to understand data impact on 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
Qualifications
- 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
Skills
Benefits
- Competitive compensation
- 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
- Lunch and dinner for in-office employees
- Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
- Equinox membership, 401k, and commuter benefits (US employees) and health/wellness stipend (Singapore employees)
- Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
- Two top-floor offices in San Francisco and Singapore
- Annual travel budget to visit either office
About hud
Platform for building RL environments and evals
HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.
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