Data Labelling Analyst - Handshake AI (Remote)
Reviewed and annotated 500+ data points daily across text, image, and AI-generated content while ensuring datasets met project guidelines. Performed quality assurance by flagging unclear cases and identifying annotation inconsistencies across multiple QA teams. Contributed to improved guideline clarity and reduced labeling errors through targeted feedback and standard adherence. • Flagged unclear cases and inconsistencies for QA review • Maintained average quality accuracy score above 95% • Applied standards to assess relevance, accuracy, and quality • Drove ~15% reduction in labeling errors during internal checks