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TFH - Face Deduplication Collection

TELUS International

AI & Data Training Full-time
Remote (Global) May 14, 2026

Job description

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.

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