Face Deduplication Collection

About the role

This position involves contributing to a large, diverse facial image dataset that will be used for machine‑learning research and facial‑recognition model training. You will capture and submit personal photographs that meet specific criteria, helping improve model accuracy across lighting, pose, expression, accessories, environment, and aging variations.

Key responsibilities

• Take a series of neutral, frontal selfies that serve as high‑quality identity references.
• Capture head‑pose images following assigned directions to provide pose diversity.
• Provide historical photos from personal galleries to represent natural aging.
• Submit a minimum of 20 valid images, aiming for 30 to ensure enough pass quality control.
• Follow the strict automated and manual quality‑control guidelines to ensure image validity.

Required profile

• Possess a Gmail address for account registration.
• Willingness to share personal photographs meeting the project’s specifications.
• No specific education or prior experience required.

Required skills

• Ability to capture clear, well‑lit photos.
• Attention to detail in following pose and lighting instructions.

What we offer

• Compensation based on the number of accepted images, with a maximum payout for 24 valid submissions.
• Opportunity to contribute to cutting‑edge AI research.