AI Data Annotator & Content Evaluator (Freelance)
Text
RLHFFreelance AI Data Annotator and content evaluator supporting LLM training pipelines by generating high-quality labels for model outputs. Applied annotation rubrics to score preference, quality, factual accuracy, instruction-following, and formatting adherence across multiple domains. Verified and grounded labeled responses using authoritative references to reduce hallucination and improve dataset reliability. • Labeled text classification, ranking, and preference outcomes for LLM outputs. • Scored response quality for tone, factuality, and rubric-compliant instruction following. • Performed claim verification using USPTO patent databases, SEC EDGAR, and government repositories. • Engineered domain prompts to stress-test model behavior and improve evaluation coverage.