AI Data Trainer & Quality Analyst
As an AI Data Trainer & Quality Analyst at Scale AI, I labeled and evaluated over 2,500 data points daily to enhance language model performance. My work focused on sentiment analysis, entity recognition, and prompt response scoring for large-scale language models. I consistently delivered results with 99.2% accuracy and played an active role in improving model reliability for major tech clients. • Labeled large volumes of text data to train AI models and reduce error rates by 35%. • Performed sentiment analysis and entity recognition for high-stakes commercial applications. • Scored AI-generated outputs for relevance, correctness, and clarity. • Collaborated with global annotation teams to refine training guidelines and mentor new annotators.