About this role
Lead our data quality efforts at an early-stage AI company focused on reinforcement learning infrastructure. You will define and implement strategies for assessing and enhancing training data, directly impacting the reliability and utility of AI agents. This role offers a unique opportunity to shape data quality standards and translate research insights into production tools.
What we are looking for 6
- Lead data quality strategy and system development for AI agents
- Design and implement scalable methods for synthetic data validation
- Collaborate with research teams and domain experts to diagnose and resolve data issues
- Translate research insights into production tools and feedback loops
- Mentor research engineers and promote technical rigor
- 5+ years of experience in AI/ML data evaluation or quality systems