Freelance Online Research & Data Support Assistant (AI content evaluation & data annotation practice)
Conducted AI content evaluation and annotation tasks aligned with strict project guidelines, including relevance, toxicity, and factual accuracy checks. Performed instruction-following and response ranking practice intended for LLM training workflows. Maintained high QA performance while validating dataset quality for downstream AI/ML use. • Evaluated safety, tone, and guideline adherence • Fact-checked and spotted errors in content • Categorized and reviewed 10k+ data points weekly • Produced labeled outputs with 98–99% QA scores