Face Deduplication Data Collection (Remote)

About the role

This remote gig supports TELUS’s machine‑learning research by building a large, diverse facial image dataset. You will submit current neutral selfies, head‑pose captures, and historical photos to help improve facial‑recognition models.

Key responsibilities

• Take clear, frontal selfies with natural lighting and background variation.
• Capture additional selfies following specific head‑direction instructions to provide pose diversity.
• Provide older photographs from personal galleries to represent natural aging.
• Upload a minimum of 20 valid images, aiming for 30 to ensure enough pass quality control.

Required profile

• Access to a smartphone or camera capable of high‑resolution photos.
• Ability to follow simple pose instructions and submit images online.
• Possession of a Gmail address for account registration.
• Willingness to comply with a strict automated and manual quality‑control process.

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 AI research.