Data Annotator (Remote/Freelance)
Reviewed and labeled text-based AI training data according to project guidelines and rubrics to ensure accuracy and consistency. Completed evaluation of outputs, with fact and context verification research to improve label quality. Identified errors, inconsistencies, and edge cases in AI-generated responses to support higher-quality dataset construction. • Applied close attention to detail while processing large volumes of content. • Verified facts, context, and source material before finalizing annotations. • Followed evolving labeling standards across different projects. • Provided critical analysis to improve data quality through iterative labeling decisions.