Data Annotation (Conversational AI) Project
I annotated AI conversations for accuracy and relevance, detecting hallucinations and flawed reasoning. Consistency was upheld across large datasets to improve conversational AI system quality. My work directly contributed to more natural and safe AI-generated dialogues. • Reviewed multi-turn conversations for logic and factual grounding.• Flagged and annotated hallucinated or incorrect responses.• Maintained annotation guidelines to ensure consistency.• Supported large-scale annotation efforts to refine conversational models.