Face Deduplication Data Collection Project

About the role

This project aims to build a large, diverse dataset of neutral selfies, head‑pose captures, and historical facial images to support machine‑learning research and facial‑recognition model training.

Key responsibilities

• Provide high‑quality frontal selfies that reflect natural variation in appearance and surroundings.
• Capture selfies following assigned head‑direction instructions to create pose‑variation data.
• Submit older photographs from personal galleries to represent natural aging and long‑term appearance changes.

Required profile

• No specific education or prior experience is required.
• Ability to take clear photos and share digital image files.
• Willingness to contribute personal images for research purposes.

Required skills

What we offer

• Opportunity to contribute to cutting‑edge AI research.
• Potential for future collaboration with a leading telecom and technology company.