AI Data Trainer
Trained and evaluated large language models by labeling 2500+ data points daily with 99.2% accuracy, directly improving model performance for major tech clients.
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Trained and evaluated large language models by labeling 2500+ data points daily with 99.2%accuracy directly improving model performance for major tech clients. Performed sentiment analysis, entity recognition, and prompt response scoring that reduced error rates by 35%. Consistently ranked in top 5%of annotators company-wide and received "Star Performer" award three consecutive quarters.
Trained and evaluated large language models by labeling 2500+ data points daily with 99.2% accuracy, directly improving model performance for major tech clients.
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