AI Data Annotator & Prompt Writer (Scale AI / Remotasks Platform)
Performed large-scale text annotation for NLP datasets, including sentiment, intent classification, and NER tagging. Contributed to RLHF feedback generation by writing and ranking model responses to support preference learning. Designed adversarial and edge-case prompts to detect hallucinations, policy violations, and factual errors. • Annotated sentiment, intent, and named-entity recognition labels for NLP tasks. • Provided RLHF preference feedback to feed directly into fine-tuning cycles. • Flagged problematic outputs with structured rationales for review and iteration. • Coordinated asynchronously with QA leads to clarify guidelines and reduce rework.