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