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TELUS Digital
Face Deduplication Collection
Job Description
ABOUT THE ROLE
We are seeking a skilled Face Deduplication Collection Specialist to contribute to a machine-learning research project at TELUS. The successful candidate will be responsible for collecting a diverse dataset of facial images to support the development of facial recognition models.
WHAT YOU'LL DO
As a Face Deduplication Collection Specialist, you will be tasked with capturing and submitting a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images. The focus will be on capturing real-world variation across lighting, poses, expressions, accessories, environments, and aging to improve model accuracy and robustness. You will need to submit a minimum of 20 valid images to qualify for payment, with a maximum payout based on 24 accepted images.
WHAT YOU'LL NEED
To be successful in this role, you will need to have a basic understanding of facial image capture and a willingness to follow the project's guidelines. No specific education is required to perform the project task.
WHY REMOTE
This is a remote opportunity that allows you to work from anywhere, with the flexibility to manage your own schedule and workload.
BENEFITS
The project compensation rate is $0.55 USD per accepted image, with a maximum payout based on 24 accepted images. You will also have the opportunity to contribute to a machine-learning research project at TELUS.