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.

- 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. - 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!