Remote Freelance: Face Data Collection for AI Training

TELUS Digital AI Data Solutions; Saint-Pierre-et-Miquelon; Sur place; Plein temps

Résumé du poste

The TELUS Digital AI Data Solutions project aims to build a large, varied dataset of selfies and head-pose facial images, including historical photos, to support machine-learning research and model training. Participants provide high-quality images under QC-driven rules to ensure dataset robustness and coverage across lighting, aging, and environments.

To qualify, you must submit a minimum of 20 valid images; the payout is $0.55 USD per accepted image, with recommendations to submit up to 30

Qualifications

• To qualify for payment, submit a minimum of 20 valid images.
• Maximum payout is based on 24 accepted images.
• Submitting 30 images is recommended to help ensure enough valid images after review.

Responsabilités

• Collect a large and diverse dataset of current neutral selfies, head-pose captures, and historical facial images.
• Capture real-world variation across lighting, poses, expressions, and environments.
• Perform quality control checks and ensure submitted images meet project guidelines.
• Contribute to the dataset according to the TELUS data collection protocol.

Formation

No specific education is needed

Description du poste

The TELUS Digital AI Data Solutions project aims to build a large, varied dataset of selfies and head-pose facial images, including historical photos, to support machine-learning research and model training. Participants provide high-quality images under QC-driven rules to ensure dataset robustness and coverage across lighting, aging, and environments.

To qualify, you must submit a minimum of 20 valid images; the payout is $0.55 USD per accepted image, with recommendations to submit up to 30