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.

No specific education is needed to perform the project task.

How to Apply

"To apply, please reach us at tiai_diverse_crowd@telusdigital.com by sending a copy of your CV along with the following details: Year of Birth Country Origin Current Country of Residence Native language and any additional languages spoken Subject Title: ""Pink Jobs - Put the Job Role"""

Job Types: Part-Time. Salaries: Less than 20,000. Expires in 34 days

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