Face Deduplication Collection
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Key details
- Location
- Texas City, TX, United States
- Work style
- Remote
- Level
- Mid level
- Job type
- Part-time
- Function
- other
- Focus area
- other
- Posted
- 2w ago
Skills
About the role
Job Description
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
The project compensation rate is $0.55 USD per accepted image.
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.
Additional Information
To apply, please reach us at tiai_diverse_crowd@telusdigital.com by sending a copy of your CV along with the following details:
Year of Birth
Country Origin
Current Country of Residence
Native language and any additional languages spoken
Subject Title: "Jobs for Humanity- Put the Job Role"
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