Paid Photo Contributor Opportunity (Self-Portraits)

This remote project collects self-portraits and related information to support the development and evaluation of AI systems. You will use your personal smartphone and follow simple instructions for each submission.

• Take and submit clear photographs of yourself.
• Complete a short questionnaire about yourself and your submitted images.
• Review each submission for image quality and project requirements before sending it.
• Photographs may include religious or cultural attire and accessories when applicable.

What it pays and takes

Prior AI training or data-labeling experience is not required.

• Pay: USD 140 per label.
• Work type: Remote, part-time contract work.
• Language: Fluent in English.
• Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Have a suitable smartphone that can capture clear photographs.
• Follow project instructions and complete questionnaires accurately.
• Pay close attention to image quality and detail.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including photographs and other labeled data. Contributors help prepare and review this material so AI systems can be developed and evaluated.