AI Facial Data Collection Associate
Listing checked September 29, 2026 · pay as published by Micro1
Overview
micro1 is building a photo dataset that reflects a wider mix of ages, appearances, and ethnic backgrounds for AI development and evaluation. If you are 50 or older, you can take part from home using your own smartphone. The work involves snapping a few selfies based on clear instructions, then answering a short questionnaire about yourself and the images you send. This is a remote, task-based project open to people across NAMER, LATAM, and EMEA.
What You'll Do6
- 1Capture photos of yourself with your smartphone, matching the simple directions provided for each shot.
- 2Send in your images through the project's submission process.
- 3Fill out a brief questionnaire covering basic details about you and the photos you uploaded.
- 4Review the instructions before each task to make sure your photos meet the project's criteria.
- 5Complete all steps remotely on your own schedule, as long as you meet the task deadline.
- 6Respond to any follow-up questions from the project team about your submissions.
Requirements8
- 1You must be 50 years of age or older.
- 2Access to a smartphone with a working camera.
- 3Ability to read and follow straightforward photo instructions.
- 4Comfort with taking and sharing pictures of yourself.
- 5Attention to detail so your photos match what the task asks for.
- 6Reliable internet access to upload images and complete the questionnaire.
- 7Residency in NAMER, LATAM, or EMEA.
- 8No prior experience with data collection or AI projects needed.
Who Should Apply
This project suits people aged 50 and above who are comfortable using a smartphone camera and can follow basic photo directions without much back-and-forth. If you enjoy contributing to something that helps AI systems better represent older adults, and you can complete short tasks on your own, this is a good fit. The role is less suitable for anyone under 50, people who dislike taking selfies, or those who need step-by-step hand-holding. A common reason applicants get rejected is submitting photos that do not match the instructions, such as wrong angles or poor lighting. Another is failing to complete the questionnaire fully, which is required for each approved task.
Salary Insight
You earn $140 per approved task. The rate is stated upfront, and there is no mention of additional benefits or overtime. Payment is tied to tasks that pass review, so make sure your submissions meet the guidelines.
Location
Compensation
$139–140/hr
Required Skills
Application Tip
When you apply, confirm your age (50+) and your region (NAMER, LATAM, or EMEA) right away, since those are hard eligibility filters. In your note, mention that you have a smartphone and are comfortable taking selfies. If you have done any similar photo or data tasks before, say so, but keep it brief. The key is showing you can follow instructions and deliver usable images.
See NearSkill jobs more often in your search
Application & verification flow
1Instant rubric match
Your resume is scanned against this role’s requirements to check qualification fit.
2Screened before the employer sees it
Only profiles that clear screening are passed on.
3Outcome by email
We notify you at the address on your resume once the screening is reviewed.
Similar open positions
Explore active roles that match your skills and interests.
Micro1
VerifiedAI Facial Data Collection Contributor – Remote
micro1 is building a photo dataset to help train and test AI systems. You will capture images of yourself using your own smartphone and answer a short questionnaire about the photos. The project is remote and open to people from many racial and ethnic backgrounds. Your goal is to follow the instructions and submit clear, usable images.
Micro1
VerifiedFacial Data Collection Associate (Siblings) – Remote
micro1 is building a photo dataset to help AI systems learn how people look across different backgrounds and how family members resemble each other. You and at least one sibling will take pictures of yourselves, either alone or together, using your own smartphones. After submitting the images, each of you fills out a short questionnaire about yourself and the photos. The whole project runs remotely, and you get paid for each approved task.
Micro1
VerifiedAI Facial Data Collection Associate (Twins) – Remote
micro1 is building a photo dataset to help AI systems learn how people look across different backgrounds, including how related individuals resemble each other. If you have a twin, you and your sibling can both take part from home using your own phones. You will capture images of yourselves, sometimes alone and sometimes together, then answer a short set of questions about the photos. The project is open to twins from all racial and ethnic groups, and both identical and fraternal pairs can join.
Meridial
VerifiedImage Data Contributor and Evaluator
This project tests how well an AI-powered photo product reads and responds to pictures people contribute along with the context they attach. You send in eligible images and write comments or descriptions that explain what appears in each shot and what you know about it. Evaluators then compare the product's output against your notes to see if it handles image context, links details across photos, and produces results that feel accurate and safe. A short eligibility survey comes first, and a completed survey does not guarantee a spot.
Micro1
VerifiedVideo Data Entry Specialist (LATAM)
Join a remote team contributing to the next generation of AI systems by capturing real-world motion data. As a Video Data Entry Specialist based in Latin America or the Caribbean, you'll use your smartphone’s sensors and a head-mounted camera to record physical activities. Your detailed work will directly help train AI models, with no prior AI experience needed — just your domain expertise and attention to detail.
Micro1
VerifiedVideo Capture Generalist - LATAM-based
We're seeking remote contributors based in LATAM to support the development of next-generation AI and robotics by recording everyday physical activities using a smartphone. This flexible, paid role involves following clear instructions to capture video and motion data—no advanced technical background required, just a keen eye for detail and consistency.