Facial Data Collector For Ml Research: Diverse Selfies & Poses

The objective of this project is to collect a large and 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.The focus is on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness.
The collection includes:Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation.Historical Images – older photos from participants' galleries to capture natural aging and long-term appearance changes.Qualification pathNo specific education is needed to perform the project task.Compensation (optional)Currency: USD#J-*****-Ljbffr