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 Research Engineers to build our synthetic data pipeline. You’ll turn domain-specific workflows into synthetic training tasks that are realistic enough to enough to teach useful behavior, structured enough to generate at scale, and difficult enough to expand model capabilities.

Responsibilities

• Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains

• Design synthetic task generation methods that produce diverse, realistic, and learnable tasks

• Build systems and tooling to mutate, validate, and improve synthetic tasks

• Analyze model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail