Data Annotator
I performed multimodal data annotation and evaluation across text, images, audio, and video to support training and fine-tuning of Large Language Models (LLMs). My work included evaluating model outputs for persona alignment, search integration, and text-to-image generation as well as labeling for entity recognition, sentiment, and intent. I reviewed LLM outputs to identify hallucinations, inconsistencies, and biases, providing structured feedback for model improvement. • Conducted annotation for entity recognition, sentiment analysis, intent classification, and object tagging. • Provided structured evaluations and feedback on LLM and text-to-image model outputs. • Collaborated with research teams to refine annotation guidelines and resolve ambiguities. • Performed quality assurance checks to reduce annotation errors and enhance dataset consistency.