AI Data Trainer & Quality Analyst
In this role, I trained and evaluated large language models by labeling over 2,500 data points daily with exceptional accuracy. My responsibilities included sentiment analysis, entity recognition, and scoring AI prompt responses to enhance natural language model performance. I collaborated with global teams to refine annotation guidelines and support new team member onboarding. • Improved model accuracy by reducing error rates by 35% through precise sentiment and entity label assignments. • Consistently ranked in the top 5% of annotators, demonstrating reliability and attention to detail. • Utilized advanced annotation tools and remote communication platforms to maintain 99.2% data quality. • Received company-wide recognition for high performance three consecutive quarters.