AI / Data Experience — AI output evaluation
Evaluated text and image outputs for quality and accuracy while following detailed guidelines to ensure consistent results. Focused on applying critical thinking to assess whether responses met the required criteria. Documented observations to support improvement of AI behavior. • Reviewed AI-generated outputs for correctness and usefulness • Applied rubric-like guidance to maintain consistency • Checked outputs against accuracy and formatting expectations • Helped refine understanding of model response behavior