Supervising Data Collection and Model Training in AI Lab
Supervised data collection, model training, and evaluation for secure transaction systems within an academic AI lab environment. Conducted oversight of AI training workflows and provided instruction to junior researchers in labeling methodologies. Facilitated accurate and consistent data labeling protocols across different research projects. • Coordinated data collection efforts for diverse AI experiments. • Developed guidelines for annotators to ensure label consistency. • Reviewed and validated labeled datasets for quality assurance. • Mentored students on annotation tools and procedures.