Face Deduplication Collection (Part-time)

About the role

We are looking for individuals to help build a large, diverse dataset of facial images for machine‑learning research at TELUS. The task involves submitting current neutral selfies, head‑pose captures, and historical photos to improve facial‑recognition models.

Key responsibilities

• Capture and submit high‑quality neutral frontal selfies.
• Take selfies following assigned head‑pose directions to provide pose variation.
• Provide older photos from personal galleries to represent natural aging.
• Ensure each image meets quality standards and complies with the project guidelines.
• Submit a minimum of 20 valid images (recommended 30) for review.

Required profile

• No specific education or prior experience required.
• Must have a Gmail address to register for the project.
• Ability to take clear photos in various lighting, environments, and with accessories.
• Willingness to follow detailed QC instructions.

Required skills

What we offer

• Compensation of $0.55 USD per accepted image.
• Flexible, remote work that can be completed on your own schedule.