CAP Associate – AI Data Annotation & Content Review
Reviewed, tagged, and classified large-scale transactional and behavioral datasets for AI and machine learning development. Maintained high accuracy and productivity while handling sensitive and NSFW content, ensuring rigorous adherence to annotation guidelines and safety policies. Participated actively in quality audits, feedback loops, and data decision documentation to promote consistency. • Conducted content review and classification in compliance with strict internal standards • Provided input during calibration sessions to reduce annotation errors • Evaluated data for risk and flagged edge-case or high-risk content • Supported the improvement of dataset quality through continuous audits and rationale tracking