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.

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

Note: Please use a Gmail address as your primary account when applying for this project.

Company Culture and Environment

While the specific culture of TELUS is not detailed, the focus on collaboration in gathering diverse datasets suggests a commitment to inclusivity and thoroughness in research practices.

Career Growth and Development Opportunities

Participants in this project may gain valuable insights into machine-learning applications and contribute to significant technological advancements, potentially opening doors for future opportunities in the field.

Detailed Benefits and Perks

• Compensation rate of $0.55 USD per accepted image.
• Opportunity to contribute to meaningful research in machine learning and facial recognition.

Compensation and Benefits

The compensation for this project is structured as follows:

• $0.55 USD per accepted image, with payment based on the maximum of 24 accepted images.

Why you should apply for this position today

This project presents a unique opportunity to contribute to cutting-edge research in facial recognition and machine learning. By participating, you will play a crucial role in enhancing model accuracy while earning compensation for your contributions.

Skills

• Ability to take high-quality selfies in varying conditions.
• Familiarity with capturing images that represent diverse variations in appearance.

Responsibilities

• Submit a minimum of 20 valid images for consideration.
• Capture a variety of selfies including neutral, head-pose, and historical images to ensure dataset diversity.
• Follow guidelines to ensure image quality and variety.

Qualifications

• Individuals must be able to capture high-quality images.
• No specific education qualifications required.

Education Requirements

No formal education requirements are specified for participation in this project.

Education Requirements Credential Category

No specific credential categories are indicated for this role.

Experience Requirements

No prior experience is required; however, a familiarity with photography and image capturing may be beneficial.

Why work in Gustavia

Gustavia offers a picturesque environment with a rich cultural heritage and beautiful scenery. The vibrant community and opportunity to be part of innovative projects make it an appealing location for both work and leisure.