AI & Data Quality Evaluator (Self-Directed)
Evaluated AI-generated and human-authored text for quality, relevance, and alignment with defined criteria. Identified and flagged inconsistencies, errors, and off-topic or low-quality material in large language model outputs. Provided structured, rubric-based feedback to support the responsible development and improvement of AI systems. • Assessed prompt-response pairs based on helpfulness, accuracy, and safety. • Differentiated between human and AI-generated content by analyzing structure and phrasing. • Applied critical reading and scoring frameworks during content review. • Collaborated with AI tools such as Claude (Anthropic) for real-world deliverables.