About the Role
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.
Requirements
Qualifications
- Experience: Fresher
Skills & Languages
analytics Market & Role Insights
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payments Estimated Market Compensation
44 comparable listingsMarket Median: $60,000. Range reflects the 25th to 75th percentile of similar active roles on Jobsfiy.
speed Category Snapshot: All others
Active Category Roles
5+
Remote Flexibility
100% Remote
Target Experience
Director
How to Stand Out When Applying for Face Deduplication Collection
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