Remote: TFH - Face Deduplication Collection

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 path

No specific education is needed to perform the project task.

Once you have successfully applied and registered, please send a confirmation email to [email protected] with the subject line: Subject: Application Confirmation - [Job Title] via (Site Name) to ensure your application is processed. Please include the email address you used to register.