Face Deduplication Collection
Role Overview & Responsibilities
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.
No specific education is needed to perform the project task.
Frequently Asked Questions
How do I apply for the Face Deduplication Collection position at TELUS Digital?
Click the “Apply for this Position” button on this page to submit your details directly to TELUS Digital's recruitment pipeline without agency fees or intermediaries.
Is this role eligible for remote work or international relocation?
This position is based in USA with potential relocation and visa sponsorship considerations for qualified candidates.
Are there any fees to apply through Jobflixs?
No. Jobflixs is 100% free for all job applicants. We strictly prohibit recruitment fees, candidate registration fees, or placement charges.
