Face Deduplication Collection (WFH)

Help collect a large, diverse dataset of facial images to support machine-learning research and facial-recognition model training at TELUS. The project focuses on capturing real-world variation in lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness.

About the role

• Current Neutral Selfies – clean, frontal selfies that serve 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 your personal gallery to capture natural aging and long-term appearance changes.

Requirements

• Submit a minimum of 20 valid images to qualify for payment.
• Maximum payout is based on 24 accepted images.
• Due to strict automated and manual Quality Control (QC), we recommend submitting 30 images to ensure enough remain valid after review.
• Use a Gmail address as your primary account when applying.

Pay

$0.55 USD per accepted image.