Evaluated AI-generated product and UX outputs against detailed quality, usability, and consistency standards to improve model reliability in real-world business scenarios.
•Performed structured comparison of multiple AI completions, identifying formatting, visual hierarchy, and usability gaps using UX principles.
•Provided granular, example-based feedback to improve model understanding of design systems, layout logic, and accessibility patterns.
•Reviewed prompt-to-output alignment, flagging failures in instruction-following, information structure, and task completeness.
•Collaborated within large-scale human-in-the-loop workflows to improve training data used for fine-tuning generative AI models.
•Applied professional UX heuristics to assess interface mockups, dashboards, and documents produced by AI systems.
•Contributed to iterative improvement cycles by validating revisions after repair attempts and identifying persistent failure patterns