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 Software Engineer, Data Quality to build the tools that help HUD’s Quality and Intelligence (QNI) team assess and improve training data and evals for frontier agents. You’ll turn hands-on quality workflows into reliable internal products, then bring the most useful capabilities into HUD’s production platform.

You’ll work closely with QNI and research engineers across task review, trajectory inspection, grader checks, quality metrics, and feedback to data creators. The work spans interfaces, backend services, and data workflows, with a focus on making quality issues easier to find, understand, and fix.

Responsibilities

• Build full-stack tools for reviewing tasks, inspecting agent trajectories, checking graders, and investigating data quality issues

• Create dashboards and metrics that show qua