Facial Data Collection Specialist

OverviewThe 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.Data Collection TypesCurrent 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.QualificationsNo specific education is needed to perform the project task.Compensation: USD
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