AI Data Trainer / AI Trainer
AI Data Trainer providing evaluation and quality rating of AI outputs using established annotation guidelines. Assessed response quality with attention to helpfulness, harmlessness, accuracy, logic, tone, and factual correctness while producing clear written justifications. Supported model improvement by supplying preference-based feedback to reflect human judgment with high consistency across high-volume tasks. • Evaluated AI-generated responses and ranked model outputs based on quality criteria • Performed prompt rewriting and adversarial prompt testing to uncover model weaknesses • Maintained consistency and guideline adherence across hundreds of tasks per session • Managed structured, spreadsheet-based tracking for large quantities of annotations