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