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:
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
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
Responsibilities
Qualifications
Education Requirements
Education Requirements Credential Category
Experience Requirements
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.
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