AI-Assisted Technical Evaluation and Documentation
Personal project
Jan 2026 - Current (10 months)
Used AI tools and local AI workflows to support technical research, troubleshooting, documentation review, and output evaluation. Reviewed generated responses and visual/text-based outputs for accuracy, missing context, unsupported claims, usefulness, quality issues, and edge cases. Gained practical experience with structured review of AI-generated outputs and identifying quality issues. Practiced structured review and clear documentation of findings to improve the quality and usefulness of AI-assisted work. Specifically, leveraged data annotation skills to meticulously label and categorize outputs, ensuring a high degree of precision and correctness in the evaluation process, thereby directly supporting the overall data quality objectives.