Data Labelling & AI Training Simulation (Forage)
Completed a Data Labelling & AI Training Simulation through Forage, receiving practical exposure to real-world annotation tasks. Labeled and classified text data to enhance machine learning model accuracy and reliability. Developed evidence-based approaches for quality assurance and error reduction throughout the simulation process. • Applied annotation guidelines in simulated production environments • Conducted quality checks to ensure label consistency • Collaborated virtually with other simulation participants • Received feedback on labeling accuracy and process improvements