Human Data Quality Engineer (Founding Team)

📋 Description Design quality frameworks for complex human data programs. Partner with clients as strategic advisor to shape data needs. Advise on project design to improve data quality. Build upstream quality across recruitment, screening, and calibration. Build scalable quality systems with Python and SQL. Collaborate with product and engineering to deliver data at scale. 🎯 Requirements 5+ years of experience building quality, evaluation or annotation systems in AI or ML. Strong Python and SQL skills for solving quality problems. Understanding ML pipelines and how human data impacts models. Strong analytical thinking; experience designing scalable quality frameworks. Ability to engage frontier labs and partner with stakeholders. Translate data analysis into requirements for product and engineering. Explain findings clearly to non-technical stakeholders. 🎁 Benefits Competitive salary, equity and benefits. Remote-friendly hybrid US work environment.