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Face Deduplication Collection (Freelance)

  • Canada
  • Remote
  • Posted Sep 18, 2026
  • 1 position

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Employment type
Part-time
Experience level
Entry, Junior · 0+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

Collect and submit a diverse dataset of neutral selfies, head-pose captures, and historical facial images. These images will be used to support machine-learning research and facial recognition model training.

Job details

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.

What you’ll do

Collect and submit a diverse dataset of neutral selfies, head-pose captures, and historical facial images. These images will be used to support machine-learning research and facial recognition model training.

Requirements

Participants must be able to provide a minimum of 20 valid images and use a Gmail address for application. No specific educational background is required for this task.

Listed skills

  • Control · Preferred
  • Organization · Preferred
  • Training · Preferred
  • Attention to detail · Preferred
  • Quality Control · Preferred
  • Process · Preferred
  • Machine learning · Preferred
  • Accuracy · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data Collection
  • Photography
  • Digital Image Submission

Job areas

  • Data & Analytics
  • Science & Research
  • Technology
  • Administrative

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