Data Collection Project - Facial Recognition Model Training

This project involves collecting a diverse dataset of current neutral selfies, head-pose captures, and historical facial images to support machine-learning research and facial recognition model training at TELUS. Participants will capture real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. The role requires submitting a minimum of 20 valid images, with a maximum payout based on 24 accepted images.