AI Data Annotator & Content Evaluator (AI trainer-style evaluation) | micro1 AI Platform
Evaluated and scored AI-generated responses using defined rubrics to assess accuracy, coherence, fluency, and relevance. Performed structured sentiment and intent annotation while flagging ambiguity and documenting quality outcomes. Maintained inter-annotator agreement standards and reported audit pass rates, error categories, and quality metrics. • Rubric-based evaluation and rating of AI outputs • Sentiment labeling and intent classification • Ambiguity flagging and edge-case escalation with justifications • Tracking inter-annotator agreement and quality metrics