AI Content Evaluation & Annotation Specialist
As an AI Content Evaluation & Annotation Specialist, I evaluated and annotated a wide variety of AI-generated text data. My tasks included applying structured rubrics, scoring model responses, and iteratively refining the data labeling according to feedback cycles. I contributed to the uniformity and accuracy of training datasets in high-volume, time-sensitive production environments. • Applied annotation schemas for sentiment, intent, and factual correctness to support model fine-tuning. • Conducted A/B preference ranking and RLHF feedback for large language models. • Identified edge cases, hallucinations, and policy violations, documenting with detailed justifications. • Used industry-standard tools and maintained high annotation throughput with minimal rework.