AI Data Trainer, Handshake AI Fellowship
AI Data Trainer developing and preparing training datasets for machine learning. Annotated complex datasets and performed quality assessments to ensure reliability of training outputs. Used user feedback analysis to improve AI performance and deliver consistent, user-focused outcomes. • Developed machine learning training datasets to enhance model performance. • Annotated complex datasets to improve model accuracy. • Conducted quality assessments of training outputs. • Analyzed user feedback to drive AI performance enhancements.