AI Response Evaluation (as part of AI training work)
Conducted AI training-adjacent evaluation by assessing AI responses and improving model output quality through structured review processes. Focused on reducing errors and improving relevance through iterative feedback loops. Maintained high-quality outputs while adapting to updates in AI evaluation criteria. • Iterative review of AI-generated responses • Error reduction and relevance improvement via feedback • Adaptation to updated AI evaluation guidelines • Ongoing quality-focused evaluation workflow