AI Data Trainer & Quality Analyst
Accelerated large language model (LLM) performance through high-volume data labeling, maintaining exceptional accuracy and output quality across key projects. Conducted extensive sentiment analysis, entity recognition, and prompt response scoring as part of model evaluation workflows. Collaborated with global teams to refine annotation guidelines and onboard new annotators. • Labeled 2,500+ text data points daily with 99.2% accuracy. • Performed evaluation and rating of AI-generated text responses. • Executed sentiment analysis and named entity recognition tasks. • Optimized remote communication and training processes.