Data Annotation & Map Evaluation Practice
As a Data Annotation & Map Evaluation Practice specialist, I conducted RLHF auditing and red-teaming on multi-turn reasoning chains for language models. I performed detailed annotation and classification of text, image, and audio outputs in accordance with strict project guidelines. My work ensured all outputs met Honesty, Harmlessness, and Helpfulness (HHH) benchmarks for LLM performance. • Audited model outputs for hallucinations and errors • Applied quality control standards to all annotation processes • Labeled and categorized multi-modal data using predefined tag sets • Conducted side-by-side (SxS) and chain-of-thought (CoT) reasoning audits