AI Data Trainer & Specialist (Independent Contractor) — AI Data Training, Text Labeling & RLHF Evaluation (Remote)
Conducted systematic auditing, categorization, and tagging of complex textual and contextual training sets to optimize LLM accuracy frameworks. Evaluated AI responses for logical validity, factual correctness, linguistic fluidity, and compliance with systemic safety guardrails and policy baselines. Analyzed training iterations to isolate hallucinations and conceptual biases and produced refined response rewrites using human preference data. • Text labeling and semantic categorization across multi-scenario prompts • RLHF-oriented preference-based evaluation and response rewrite refinement • Hallucination and bias discovery via deep logic and content validation • Safety and governance compliance checks for sensitive data handling protocols