AI Content Evaluation & Data Annotation (Freelance Projects)
As an AI Content Evaluator and Data Annotator, I reviewed AI-generated text for clarity, tone, and factual accuracy. I applied structured evaluation rubrics to rank and fine-tune AI model outputs, identifying errors and inconsistencies. My work supported supervised fine-tuning and reinforcement learning from human feedback in prompt-based evaluation environments. • Evaluated 1,000+ text responses for policy compliance and consistency. • Authored ground-truth answers to enhance supervised fine-tuning (SFT) workflows. • Maintained over 95% internal quality benchmark following annotation guidelines. • Processed and documented 40–60 prompts per day ensuring accuracy and feedback quality.