Freelance AI Trainer & Data Annotator (Remote)
Reviewed and evaluated AI-generated responses for relevance, accuracy, and overall quality to support AI training and improvement. Performed data annotation and labeling tasks aimed at enhancing machine learning performance and consistency of training datasets. Conducted internet research and fact verification to reduce errors in AI training materials. • Labeled/annotated dataset items to improve ML model outputs. • Assessed prompt–response quality and provided rating-style evaluation. • Identified inaccurate or biased outputs and suggested corrective feedback. • Applied quality assurance while handling large volumes of data.