AI Data Trainer & Quality Analyst
I trained and evaluated large language models by labeling more than 2,500 data points daily with high accuracy. I performed tasks such as sentiment analysis, entity recognition, and prompt response scoring, reducing error rates and directly improving model performance. My work contributed to guiding model responses and high standards for AI behavior assessments. • Consistently ranked in top 5% of annotators and awarded "Star Performer" for three consecutive quarters • Collaborated with international teams to improve guidelines and train new annotators • Maintained 99.2% accuracy over high-volume annotation batches • Delivered performance feedback to enhance data labeling consistency