Face Deduplication Collection (WFH)

About the role

This remote gig involves building a large, 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 high‑quality frontal selfies with natural lighting and background variation.
• Capture additional selfies following assigned head‑direction instructions to create pose diversity.
• Locate and submit older photos from personal galleries to represent aging effects.
• Upload a minimum of 20 valid images; aim for 30 to ensure enough pass quality control.
• Follow the strict automated and manual QC guidelines to maximize accepted images.

Required profile

• No specific education required; any adult with a smartphone camera can apply.
• Ability to follow simple photographic instructions and submit images online.
• Access to a Gmail account for project registration.

Required skills

What we offer

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