Lead Research Engineer, Data Quality

The role

You will lead the data quality team in building systems that evaluate tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows. You will own how HUD measures, improves, and scales the quality of training data for frontier agents.

What you will do

• Lead HUD's data quality strategy including building QC systems, defining and enforcing quality standards, and designing experiments to grade agent outputs
• Develop new methods for validating synthetic data at scale, such as failure-mode analysis, task mutation checks, and trajectory auditing
• Partner with research engineers, domain experts, and data vendors to diagnose quality issues and improve data generation workflows
• Turn qualitative research insights into production systems, internal tools, dashboards, validation pipelines, and feedback loops
• Help build internal research taste around what makes agent training data actually useful
• Mentor other research engineers to maintain a high bar for technical rigor, clarity, and execution speed

Required qualifications

• Advanced proficiency in Python, Docker, and Linux environments
• Deep intuition for data quality
• 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

Nice to have

• Experience leading teams on ambiguous technical projects from problem definition through implementation and iteration
• Experience working with subject-matter experts to capture domain judgment and convert it into scalable review or generation systems
• Be comfortable designing metrics, experiments, and QA/QC processes, not just executing them
• Early-stage startup experience with ability to work independently in fast-paced environments
• Be detail-oriented and able to spot subtle inconsistencies or edge cases in data

Benefits

• Competitive compensation
• 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
• Lunch and dinner for in-office employees
• Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
• 401k with a 4% match
• Equinox membership and commuter benefits (US employees)
• Health/wellness stipend (Singapore employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Annual travel budget to visit either office

Before you apply

• We provide support for relocation and visas for strong full-time candidates to the US or Singapore
• The process is 2 technical interviews and a 2-3 day work trial

About the company

HUD's mission is to build reliable, fair and open infrastructure for AI data. Their marketplace and platform are used by startups, Fortune 500 companies and frontier labs.