AI Data Annotator (Text response evaluation)
Provided human review of AI-generated text for accuracy, relevance, and safety as part of an AI training feedback pipeline. Conducted content moderation assessments using platform policy guidelines to flag outputs that were harmful, misleading, or not allowed. Helped ensure that model behavior aligned with responsible deployment standards through systematic evaluation. • Reviewed AI-generated responses for correctness and usefulness • Applied content safety and policy constraints during moderation • Flagged harmful or misleading text outputs • Supplied structured judgments to inform training and safeguards