AI Trainer

Collaborated on 10+ cross-domain projects including NLP, computer vision, and sentiment analysis, ensuring timely and high-quality data delivery.

Annotated and labeled over 50,000 data units with 98% accuracy, contributing to the improvement of machine learning model performance.

Audited datasets weekly for consistency and completeness, identifying and correcting an average of 200+ annotation errors per batch.

Contributed actionable insights to guideline revisions, enhancing annotation clarity and reducing team errors by 15%.

Trained and mentored 5+ new annotators on platform tools and labeling standards, accelerating on-boarding efficiency.

Reported usability issues and suggested tool improvements that led to a 25% increase in annotation speed.