AI Training & Evaluation Contributor (Independent Contractor) — DataAnnotation.TEch (July 2025 – Present)
Served as an AI Training & Evaluation contributor by assessing Large Language Model (LLM) outputs for quality and training readiness. Evaluated responses for accuracy, reasoning quality, instruction adherence, factual consistency, and linguistic quality using rubric-based criteria. Provided detailed rationales and feedback to help improve model performance and optimization for diverse tasks across domains. • Assessed and rated AI-generated responses against rubric criteria • Performed comparative analysis across model outputs to identify strengths and weaknesses • Authored evidence-based rationales and improvement suggestions • Assisted with prompt engineering to enhance response quality