AI Facial Data Collection Associate (Siblings)
$139 to $140/hIndicative range provided by micro1
Posted on September 9, 2026 · Applications until November 8, 2026
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The AI Facial Data Collection Associate submits unedited selfies and video recordings spanning the past five years to train artificial intelligence systems. Candidates must apply alongside a sibling or cousin and possess clear smartphone media ready for immediate submission.
Description in English, as published by micro1.
Role Title: AI Facial Data Collection Associate (Siblings)
Role Type: Contractor
Location: Remote
micro1 is engaging AI Facial Data Collection Associates to contribute to an impactful AI project for a leading customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters. This engagement welcomes siblings and/or Cousins to participate together, helping to provide diverse biometric data that strengthens the accuracy and capabilities of AI facial recognition systems.
Scope of Work
- Submit high-quality and unedited selfies (30) and video recordings (10) of yourself through the past 5 years.
- Remove possible filters and edits from pictures/videos taken in the last 5 years.
- Follow the instructions carefully.
- Report any issues and follow feedback to improve future submissions.
Preferred Qualifications
- Must have clear selfies and videos ready to submit, captured with a smartphone or camera.
- Able to follow instructions and pay attention to detail.
- Comfortable working independently and reporting any issues if they arise.
- Both siblings/cousins must each submit their own separate application through this same process; onboarding cannot occur until both applications are completed.
Required skills
- Selfies
- Video Recordings
- Attention to Detail
- Follow Instructions
About micro1
micro1 is an AI data lab that hires remote experts to train and evaluate models. The original posting is on their site.
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