Data Annotation Specialist & AI Evaluator
Evaluated AI outputs for helpfulness, accuracy, coherence, and safety using legal analytical skills. Assessed whether AI responses met prompt requirements by applying rule-based judgment from compliance experience. Reviewed outputs for hallucinations, factual errors, harmful or biased content, leveraging legal and ethical knowledge. • Applied reinforcement learning from human feedback (RLHF) methods to judge quality of AI-generated texts. • Rated and ranked large language model (LLM) responses with detailed rubrics and guidelines. • Specialized in legal, regulatory, and oil & gas compliance texts for domain-specific annotation projects. • Maintained rigorous quality assurance and attention to detail in annotation tasks.