Paid Face Selfies & Pose Variation Dataset Builder

TELUS Digital AI Data Solutions; Guadeloupe; Sur place; Plein temps

Résumé du poste

TELUS Digital AI Data Solutions is conducting a data-collection project to assemble a diverse set of neutral selfies, head-pose captures, and historical facial images for machine-learning research and model training. The work focuses on real-world variation in lighting, pose, expressions, and aging to improve accuracy and robustness.

Participants are asked to provide high-quality images, with a minimum requirement of 20 valid images and a recommended target of around 30 to ensure sufficient

Qualifications

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

Responsabilités

• Submit a minimum of 20 valid images.
• The maximum payout is based on 24 accepted images; submitting around 30 images is recommended to ensure enough valid images after QC.
• The project compensation rate is $0.55 USD per accepted image.

Description du poste

TELUS Digital AI Data Solutions is conducting a data-collection project to assemble a diverse set of neutral selfies, head-pose captures, and historical facial images for machine-learning research and model training. The work focuses on real-world variation in lighting, pose, expressions, and aging to improve accuracy and robustness.

Participants are asked to provide high-quality images, with a minimum requirement of 20 valid images and a recommended target of around 30 to ensure sufficient