AI Data Annotator & Trainer
Evaluated AI-generated text outputs for clarity, factual accuracy, and logical consistency. Annotated and categorised responses based on sentiment, theme, and relevance guidelines. Applied structured scoring rubrics to assess model performance. Identified linguistic inconsistencies and reasoning gaps. Performed quality checks to ensure consistency across high-volume tasks. Provided detailed feedback to improve AI model reliability and response precision.