Research Engineer, Robotics Evals

HUD builds infrastructure for AI data intended to make it reliable, fair, and open. The Research Engineer will develop datasets and evaluations for robotics and embodied AI systems by translating research needs into data specifications, validating data, and analyzing experiments to 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