Freelance AI Trainer & Technical Data Specialist
Freelance AI Trainer and Technical Data Specialist evaluating LLM-generated code outputs for correctness, syntax, and efficiency. Applied RLHF-style ranking and wrote technical justifications for model failures, including bug and reasoning fallacy explanations. Maintained high-quality audit scores by following evolving annotation guidelines and safety-focused evaluation criteria. • Evaluated Python, JavaScript, and SQL code for execution correctness and algorithmic efficiency • Authored advanced prompts to test reasoning, edge cases, and safety boundaries (red teaming) • Ranked outputs using RLHF methodologies and produced comprehensive explanations for errors • Ensured 95%+ quality audit compliance with strict annotation rubric adherence