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 of $0.55 USD per accepted image.

Why you should apply for this position today

This project offers a unique opportunity to contribute to machine-learning research and facial recognition model training while potentially earning money through your image submissions. It is an excellent chance to participate in a meaningful endeavor that supports technological advancements.

Skills

  • Ability to take high-quality selfies with clean backgrounds.
  • Understanding of facial expressions and head poses.
  • Familiarity with photographic techniques to capture images in various environments.

Responsibilities

  • Capture and submit a minimum of 20 valid images based on the specified criteria.
  • Ensure high standards of quality in the images submitted.
  • Follow guidelines for pose and expression variations to improve dataset diversity.

Qualifications

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

Education Requirements

  • No formal education requirements specified.

Education Requirements Credential Category

  • N/A

Experience Requirements

  • No prior experience required; however, an understanding of basic photography principles is beneficial.

Why work in Panama City

Panama City offers a vibrant cultural scene, rich history, and a dynamic environment for both personal and professional growth. With a diverse community and a unique blend of modern and traditional experiences, it provides an excellent backdrop for participating in innovative projects.

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 14

Image Collection Specialist for Facial Recognition Research

Panama City

Remote (Friendly)

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