Face Deduplication Collection
- Canada
Part-time
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Job details
- Job type
- Part-time
- Posting language
- English
- Posted
Original job description
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About the role:
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.
More about this job
Responsibilities
Collect current neutral selfies, head-pose captures, and historical facial images for machine-learning research and facial recognition model training. Submit at least 20 valid images, with 30 recommended to account for quality-control rejections.
Requirements
Participants must submit a minimum of 20 valid images to qualify for payment; the maximum payout is based on 24 accepted images. A Gmail address is recommended as the primary account when applying.
Skills
- Selfie Capture
- Image Collection
- Head-Pose Capture
- Quality Control
- Attention to Detail
Visa sponsorship
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Categories
- Technology
- Data & Analytics
- Science & Research
Keywords
- Facial Image Collection
- Selfies
- Neutral Selfies
- Head-Pose Captures
- Historical Images
- Facial Recognition
- Machine Learning
- Model Training
- Dataset
- Image Quality Control
- Lighting Variation
- Pose Variation
- Expression Variation
- Aging
- Identity References