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.

Responsibilities

  • Collect current neutral selfies serving as high-quality identity references, with natural variation in appearance and surroundings.
  • Capture selfies in assigned head directions to introduce pose variation.
  • Submit older photos from participants’ galleries to capture natural aging and long-term appearance changes.
  • Ensure submission of a minimum of 20 valid images to qualify for payment, with a recommendation to submit 30 images to account for quality control.

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 cutting-edge research in machine learning and facial recognition. By participating, you play a crucial role in enhancing model accuracy and robustness, helping shape the future of technology.

Skills

  • Ability to capture high-quality images in various lighting and contexts.
  • Attention to detail in image submission for quality assurance.

Qualifications

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

Education Requirements

  • No formal education requirements for this project.

Education Requirements Credential Category

  • No specific credential category required.

Experience Requirements

  • No prior experience is required, but familiarity with photography and image submission processes may be beneficial.

Why work in San Salvador

San Salvador offers a rich cultural landscape with a blend of history, tradition, and modern development. The city is known for its vibrant neighborhoods, delicious cuisine, and welcoming communities. Enjoy the unique opportunity to live and work in a location that boasts both natural beauty and urban amenities.

Employment Type: Part-Time

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Posted on Oct 14

Image Contributor for Facial Recognition Dataset

San Salvador

Remote (Friendly)

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