Selfies Data Collection Project

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.

No specific responsibilities section is provided in the posting.