We are recruiting participants for a paid project recording short, real-time English conversations built around what one person is showing on camera. You will be paired with another participant.
Paid Photo Contributor Opportunity (Egypt-based)
Egypt
$140 per approved task
October 26, 2026
Job description
Role Title: Paid Photo Contributor Opportunity
Location: Egypt, Remote
Job Summary
micro1 is recruiting participants for a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems.
What you'll do:
- Take and submit photographs of yourself following simple project instructions.
- Complete a short questionnaire about yourself and the submitted images.
- Complete the project remotely using your own smartphone.
Who we're looking for:
The project is designed to create a dataset representing people from a broad range of racial and ethnic backgrounds and physical appearances. We are seeking participation from individuals across many different communities and backgrounds.
Religious and cultural attire:
Participants are welcome to wear religious or cultural attire and accessories in their photos, including but not limited to hijabs, turbans, kippahs, and religious jewelry. These are fully accepted, and there is no need to remove them. We want the dataset to reflect how people actually present themselves.
Participants of all racial and ethnic backgrounds are welcome to apply.
Compensation: u$140 per approved task.
Eligibility: 18+ / Egypt-based / smartphone
Apply now
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micro1 is recruiting participants for a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems. What you'll do: Take and submit photographs of yourself following simple project instructions.
micro1 is recruiting participants for a paid photo data collection project supporting the development and evaluation of artificial intelligence (AI) systems. What you'll do: Take and submit photographs of yourself following simple project instructions.
We are looking for contributors in the United States to collect high-quality egocentric (first-person/head-mounted) video data from a broad range of commercial and workplace environments.