AI Data Trainer & Quality Analyst, Scale AI (Remote)
Trained and evaluated large language models by labeling thousands of text data points daily to improve model performance for major tech clients. Conducted sentiment analysis and entity recognition, and scored prompt responses to reduce model errors. Consistently maintained top-quality output and participated in guideline refinement with remote teammates. • Labeled 2,500+ data points per day with 99.2% accuracy. • Performed sentiment analysis and entity recognition. • Scored prompt responses and supported reduced error rates by 35%. • Ranked in top 5% of annotators and received “Star Performer” awards.