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. This 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

  • The project compensation rate is $0.55 USD per accepted image.

Why you should apply for this position today

This project provides an excellent opportunity to contribute to cutting-edge machine-learning research while earning compensation for your efforts. Participate in a meaningful initiative that supports the advancement of facial recognition technology.

Skills

  • Ability to capture high-quality images in various conditions
  • Understanding of pose variations and how to achieve them
  • Familiarity with photo submission guidelines
  • Attention to detail for quality assurance

Responsibilities

  • Capture and submit current neutral selfies
  • Capture and submit head-pose selfies according to assigned directions
  • Gather and submit historical images from personal galleries
  • Ensure image quality meets the required standards for acceptance

Qualifications

  • Must be able to provide a minimum of 20 valid images
  • Ability to follow guidelines for image capture
  • Previous experience with photography is a plus but not required

Education Requirements

  • No specific formal education required

Education Requirements Credential Category

  • N/A

Experience Requirements

  • No previous experience required; open to all

Why work in St. John’s

St. John’s is a vibrant city known for its rich history, stunning landscapes, and welcoming community. The city offers a unique blend of culture and natural beauty, making it an enjoyable place to live and work. Experience the warmth of Newfoundland hospitality while contributing to innovative projects in a dynamic environment.

Employment Type: Part-Time

Apply to this job

Think you're the perfect candidate?

By continuing, you agree to Get.It's Terms & Privacy Policy and to receive relevant job alerts.
Posted on Oct 26

Image Collection Participant for Machine Learning Research

St. John's

Remote (Friendly)

By continuing, you agree to Get.It's Terms & Privacy Policy and to receive relevant job alerts.