Face Deduplication Collection (Freelance)

About the role

The project aims 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.

Responsibilities

• Provide current neutral selfies (clean frontal images) as high‑quality identity references.
• Provide current head‑pose captures (selfies in assigned head directions) to introduce pose variation.
• Provide historical images from personal galleries to capture natural aging and long‑term appearance changes.
• Ensure submitted images meet the project’s automated and manual quality‑control standards.
• Submit at least 20 valid images to qualify for payment.

Requirements

• Minimum of 20 valid images required for payment.
• Maximum payout is based on up to 24 accepted images.
• Due to strict QC, it is recommended to submit around 30 images to ensure enough remain valid after review.

Qualifications

No specific education is needed to perform the project task.

Pay

Compensation rate is $0.55 USD per accepted image.