Face Deduplication Collection - Remote

TELUS Digital AI Data Solutions; Saint-Barthélemy; Sur place; EUR 13 000 - 15 000; Plein temps

Résumé du poste

TELUS Digital AI Data Solutions is seeking contributors to build a diverse dataset for facial recognition research. The project focuses on neutral selfies, head-pose captures, and historical images to improve model robustness under varying lighting and aging conditions.

You will be paid $0.55 USD for each accepted image, with 20 images minimum and up to 24 accepted images. Submitting around 30 images is advised to maximize validity after QC.

Qualifications

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

Responsabilités

• Collect a large, diverse dataset of neutral selfies, head-pose captures, and historical facial images.
• Submit at least 20 valid images; up to 24 accepted images; 30 images recommended.

Description du poste

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.

Qualification path

No specific education is needed to perform the project task.