Teams at Prolific

Lead scoping, design, and delivery of complex human-data projects for AI clients. Own study design, protocols, rater onboarding and QA, pilot execution, and cross-functional coordination to scale repeatable workflows and document playbooks to improve operational readiness and automation.

Design and own end-to-end data quality systems for managed AI data studies: define rubrics, sampling plans, automated checks, launch gates, drift detection, dashboards, and calibration. Investigate integrity issues, run root-cause analysis, build automation in Python/SQL, and partner with Product, Engineering, and Operations to embed quality controls, train reviewers, and scale repeatable quality playbooks across programs.