AI Training Assistant / Data Annotator (Freelance)
Critically evaluated and prioritized natural language generation outputs based on logical flow, fact consistency, and relevance to the provided context. Produced and refined multi-turn chatbot instruction-tuning conversations to improve training data quality. Performed model adversarial testing (red-teaming) to ensure safety guidelines and alignment standards were met. • Labeled outputs using quality and relevance criteria • Created multi-turn conversation data for instruction tuning • Conducted adversarial/red-teaming checks for safety and alignment • Met weekly annotation targets above platform baselines