AI Training & Data Annotation Specialist – Fitness, Health, and Literacy Domains
Worked as an AI Trainer and Data Annotation Specialist on multiple large-scale LLM training and evaluation projects with Outlier. Responsibilities included high-precision text annotation, response evaluation, prompt analysis, hallucination detection, bias identification, and instructional quality scoring across health, fitness, nutrition, and literacy domains. The role required applying expert subject-matter knowledge to assess factual accuracy, reasoning quality, safety compliance, and instructional clarity of AI-generated outputs. Projects involved both creation and evaluation workflows, including rewriting, ranking, correcting, and justifying model responses according to detailed rubrics and client-specific guidelines. Quality standards were strictly enforced through multi-layer review systems, requiring consistent accuracy, adherence to annotation protocols, and detailed rationale documentation.