AI Facial Data Collection Associate
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- AI-Data-Collection-Specialist, Data-Collection-Associate, Facial-Recognition-Data-Collection, AI-Services-Associate, AI-Operations-Associate, AI-Associate
- Source
- himalayas
- First observed
- 2026-09-11 11:11 UTC
- Last seen
- 2026-09-11 11:11 UTC
- Source claims posted
- 2026-09-11 10:15 UTC
- Consecutive misses
- 0 of 10
What the posting says
Role Title: AI Facial Data Collection Contributor (50+)
Location: Remote
Job Summary
Get paid from home in this fully remote AI training project by providing a few selfies and short videos of yourself through the past 5 years. Selfies and Videos will be used to train AI Data.
Eligibility
Because the project requires representation from this specific age group, participation in this posting is limited to contractors who are 50 years of age or older. This is a requirement of the project itself, not a judgment about qualifications. There is no upper age limit.
Key Responsibilities:
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.
Required Skills and 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.
Compensation Structure:
You will receive a one time payment after you submit the amount of selfies and videos required by the project.
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- x Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
-
*
#697407 2026-09-11 11:11 UTCPublished