Freelance Data Analyst and AI trainer/assessor for DataAnnotation Tech
Evaluated AI-generated responses for accuracy, instruction-following, reasoning quality, tone, formatting, and overall usefulness for real-world professional tasks. Designed and tested complex prompts to surface model weaknesses, edge cases, and failure patterns across professional domains. Created source-document packets, rubrics, and evaluation criteria to stress-test model performance under realistic task conditions. • Judged outputs against detailed requirements and identified hallucinations, unsupported claims, and formatting failures • Checked source-reconciliation and usability for education, compliance, logistics, and instructional design use cases • Produced run-by-run documentation including rubric-based assessments and final quality ratings • Handled multi-file inputs such as PDFs, DOCX files, CSVs, prompts, and structured source materials