# Lead Research Engineer, Data Quality at HUD

- Company: HUD
- What the company does: Backed by Y Combinator.
- Company website: https://www.hud.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-07-28
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/hud/70ed6991-12fb-4d47-a83a-84c25af72d7c
- Page: https://www.1752.vc/careers/jobs/hud-lead-research-engineer-data-quality/

## About the role

We’re looking for a Lead Research Engineer, Data Quality to own how HUD measures, improves, and scales the quality of training data for frontier agents. You’ll lead the data quality team in building the systems that evaluate thousands of tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows. Lead HUD’s data quality strategy including building QC systems, defining and enforcing quality standards, and designing experiments to grade agent outputs

## What they're looking for

- Advanced proficiency in Python, Docker, and Linux environments
- Deep intuition for data quality - you can reason about what makes tasks realistic, learnable, diverse, reliable, and useful for training
- Experience building QC systems, evals, benchmarks, synthetic data pipelines, validation workflows, or model evaluation infrastructure
- Comfort working across messy human and technical systems, including domain experts, vendors, generated data, model outputs, graders, and infrastructure
- Strong written communication and the ability to explain methodology clearly to researchers, engineers, labs, and external audiences

Tags: Engineering & Research