[Hiring] Software Engineer, Data Quality @HUD

Role Description

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 quality trends, failure modes, and the health of review and validation workflows.
• Design backend services, APIs, and data workflows that connect quality checks with task creation, evaluation, and feedback to data creators.
• Work with QNI and research engineers to turn evolving review methods into clear, efficient workflows that scale beyond manual analysis.
• Move proven internal tools into production, improving their reliability, usability, and observability as adoption grows.
• Investigate issues in live workflows and use what you learn to improve the platform and prevent repeat failures.

Qualifications

• Strong software engineering fundamentals and the ability to build across frontend, backend, and data systems.
• Proficiency in Python and a modern web stack such as TypeScript and React, or comparable tools.
• Built internal or user-facing products end-to-end, from understanding a workflow through shipping and improving it.
• Sound judgment about APIs, data models, and production systems, including how to make them reliable and easy to debug.
• An ability to turn ambiguous quality problems into useful interfaces, automation, and measurable checks.
• Clear communication and comfort working closely with research and quality teams to understand how people use the tools you build.

Requirements

• Strong candidates may also have:
• Built tooling for data review, annotation, evals, benchmarks, or ML workflows.
• Worked with agent traces, graders, reward signals, or RL training data.
• Designed dashboards, observability tools, or review workflows for complex datasets and pipelines.
• Improved a prototype or internal tool until it was ready for wider production use.

Benefits

• Competitive compensation.
• 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees).
• Lunch and dinner when you’re in the office (in-office employees).
• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays.
• Other perks including an Equinox membership, 401k, and commuter benefits (US employees).
• Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *
• By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.