Lead Research Engineer, Data Quality

What this role involves

HUD is seeking a Lead Research Engineer for Data Quality to own the strategy for measuring and improving training data quality for AI agents. The role involves leading a team, building QC systems, and developing validation methods for synthetic data. The position is full-time and on-site in San Francisco or Singapore, with visa sponsorship available.

Skills this posting asks for

• python
• docker
• linux
• data quality
• qc systems
• evals
• benchmarks
• synthetic data pipelines
• validation workflows
• model evaluation infrastructure
• metrics
• experiments
• qa/qc processes

Requirements

• Level: lead
• Remote policy: onsite
• Visa sponsorship: yes

From the employer’s posting

ABOUT HUD HUD https://www.hud.ai/ 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 $1…