AI Content Reviewer & Data Annotation Specialist
As an AI Content Reviewer & Data Annotation Specialist, I evaluated AI-generated outputs against structured quality rubrics across text, image, video, speech, and document tasks. I crafted original, fact-checked written responses supporting LLM training pipelines and applied iterative feedback methodology to raise content quality. My work included labeling, categorizing, and flagging issues in multimodal datasets to ensure project guideline consistency. • Evaluated LLM outputs for coherence, factual accuracy, and instruction adherence. • Created model LLM responses for various use cases, including Q&A and creative prompts. • Labeled and categorized multimodal data following complex annotation guidelines. • Flagged errors, bias, hallucinations, and clarified contradictory instructions.