Job Description

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.

Compensation and Benefits

  • Project compensation rate is $0.55 USD per accepted image.

Why you should apply for this position today

This project offers a unique opportunity to contribute to impactful machine-learning research. By participating, you can help improve facial recognition technologies while earning compensation for your contributions.

Skills

  • Ability to take high-quality selfies under varying lighting and conditions.
  • Familiarity with capturing head poses as per guidelines.
  • Capability to source historical images from personal archives.

Responsibilities

  • Capture and submit current neutral selfies, head-pose images, and historical photos.
  • Ensure images meet quality standards set by the project guidelines.

Qualifications

  • No specific education is needed to perform the project task.

Education Requirements

  • No formal education requirements.

Education Requirements Credential Category

  • Not applicable.

Experience Requirements

  • Experience in photography or familiarity with taking high-quality images is beneficial but not mandatory.

Why work in Calliaqua

Calliaqua offers a beautiful coastal environment with a rich cultural heritage. Living in this area provides opportunities for outdoor activities, community engagement, and a relaxed lifestyle, making it an excellent place to balance work and leisure.

Employment Type: Part-Time

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Posted on Oct 14

Image Collection Specialist for Machine Learning Research

Calliaqua

Remote (Friendly)

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