Lead Research Engineer, Data Quality

Lead the data quality team at an early-stage AI company, building systems to measure and improve training data for AI agents. You will define the data quality strategy, develop scalable validation methods, and design metrics to evaluate agent outputs. This role offers the opportunity to translate research insights into production tools and mentor other engineers.

• Set data quality strategy and build evaluation systems
• Develop scalable synthetic data validation methods
• Design metrics, experiments, and quality standards
• Collaborate with research engineers and domain experts
• Turn research insights into production tools and pipelines
• Mentor research engineers and strengthen technical rigor