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.

How to Apply
• Visit our AI Community portal: https://www.telusinternational.ai/cmp/contributor/jobs/available/128816
• Create or update

your profile
• Upload your resume
• Apply for the role – That’s it Qualification path No specific education is needed to perform the project task.

📌 Selfie data collection (India)
🏢 TELUS Digital
📍 India