Face Deduplication Collection

TELUS Digital

Remote · Part Time

Be the first to apply

Experience
Any
Salary
Openings
1
Posted
5 days ago
Work mode
Work from home
Resume
Required to apply

Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.

Job description

The project compensation rate is $0.55 USD per accepted image. The objective of this project is 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. The collection includes:
 
• Current Neutral Selfies – clean frontal selfies serving as high-quality identity references, with natural variation in appearance and surroundings.
• Current Head-Pose Captures – selfies captured in assigned head directions to introduce pose variation.
• Historical Images – older photos from participants’ galleries to capture natural aging and long-term appearance changes.
 
To qualify for payment, you must submit a minimum of 20 valid images. The maximum payout is based on 24 accepted images. Due to the strict automated and manual Quality Control (QC) process, we strongly recommend submitting 30 images to help ensure that enough images remain valid after review
 
Note: Please use a Gmail address as your primary account when applying for this project.
 
Qualification path
 
No specific education is needed to perform the project task.

Leave it if you'd like a reply — we won't use it for anything else.

Click to browse, drag & drop, or paste a screenshot

PNG, JPG, GIF, MP4, WebM, MOV · Max 20MB each · Up to 5 files

🤖
Online · instant AI help
Broxer