Part-time Face Deduplication Data Collection

About the role

This part‑time role involves building a diverse facial image dataset for machine‑learning research at TELUS. You will capture current neutral selfies, head‑pose images, and historical photos to help improve facial‑recognition models.

Key responsibilities

• Take and submit high‑quality frontal selfies with natural variation.
• Capture selfies in assigned head‑direction poses to add pose diversity.
• Gather older photos from personal galleries to represent aging.
• Upload images through the provided platform and ensure they pass automated and manual quality checks.
• Submit at least 20 valid images, aiming for 30 to increase acceptance chances.

Required profile

• Access to a smartphone or camera capable of clear photos.
• Willingness to follow detailed image‑capture guidelines.
• Use of a Gmail address for account registration.
• No specific education or prior experience needed.

Required skills

• Ability to take clear, well‑lit photographs.
• Basic familiarity with uploading files to an online portal.

What we offer

• Compensation of $0.55 USD per accepted image (up to 24 images).
• Flexible remote work schedule.
• Opportunity to contribute to cutting‑edge facial‑recognition research.