MERCOR | AI Training & Quality Evaluation (AI content evaluation and feedback)
Evaluated AI-generated content using structured evaluation guidelines across diverse subject areas, assessing responses for clarity, reasoning quality, factual consistency, instruction following, and fairness. Produced concise written rationales supporting evaluation decisions and identified ambiguity, communication issues, inconsistencies, and potential sources of bias. Applied interdisciplinary expertise in language, communication, education, healthcare, and human behavior to complex evaluation tasks. • Clarity and reasoning quality assessment • Factual consistency and instruction-following checks • Fairness and bias identification • Written rationale generation for QA outcomes