About this role
Lead the research engineering efforts to define and implement strategies for measuring and enhancing the quality of AI training data. You will build and manage systems for evaluating data across diverse environments and workflows, ensuring the reliability and usefulness of data for AI agents. This role involves translating research findings into production tools and mentoring a team of research engineers.
What we are looking for 6
- Lead a team building systems to evaluate large volumes of AI training data
- Define data quality strategy and set standards for AI agent outputs
- Develop scalable approaches to validate synthetic data and analyze failures
- Translate research insights into production tools and validation pipelines
- 5+ years of experience in AI/ML data evaluation and quality systems
- Experience leading technical projects and mentoring engineers