AI response Evaluation and Text Annotation specialist.
Contributed to AI training and data annotation projects focused on improving large language model performance. Tasks included evaluating AI-generated responses for accuracy, relevance, clarity, and safety based on detailed annotation guidelines. Performed text classification, sentiment labeling, and comparative response ranking across diverse datasets. Reviewed written content and assigned structured labels to support supervised machine learning workflows. Maintained consistency across tasks by carefully following project instructions and quality standards. Worked primarily through web-based annotation tools using desktop and mobile environments, ensuring accurate submissions and adherence to turnaround timelines.