AI Data Trainer & Quality Analyst
I trained and evaluated large language models by labeling more than 2,500 data points daily, ensuring over 99% accuracy. My labeling tasks included sentiment analysis, entity recognition, and scoring of prompt responses to improve error rates for major tech clients. I was recognized as a top-performing annotator and contributed to refining annotation guidelines and onboarding new team members. • Labeled text data for language model training and evaluation • Performed entity recognition and sentiment classification • Scored and rated AI-generated prompt responses • Collaborated globally to improve annotation processes.