Artificial intelligence is increasingly being trained with more than text, documents and code. Developers also need high-quality real-world visual data to improve systems that interpret human faces, movement and other visual characteristics.
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That demand is creating an unusual remote earning opportunity.
micro1 is currently recruiting for an AI Facial Data Collection Associate (Siblings) project, with 3,997 openings advertised and compensation listed at $139–$140 per hour.
The project is designed to collect facial images and video data from siblings to help train next-generation AI systems. No previous artificial-intelligence experience is required.
Opportunity at a glance
| Position | AI Facial Data Collection Associate (Siblings) |
| Company | micro1 |
| Type | Contractor |
| Location | Remote |
| Advertised pay | $139–$140/hour |
| Openings | 3,997 |
| AI experience required? | No |
| Participation requirement | Both siblings must apply separately |
View the micro1 opportunity and apply here →
What is the AI Facial Data Collection Associate project?
According to micro1's job description, the company is engaging participants for an AI project being conducted for a leading customer.
The objective is to provide high-quality, real-world facial data that can contribute to the training and improvement of AI facial-recognition systems.
What makes this particular project distinctive is the focus on siblings participating together.
Biological siblings naturally share certain facial characteristics while also maintaining clear individual differences. That makes sibling data potentially useful for AI systems that must learn to distinguish between people who may have similar facial structures or features.
micro1 says this participation will help provide diverse biometric information designed to improve the accuracy and capabilities of AI facial-recognition technology.
What participants are being asked to provide
The assignment is considerably different from a conventional remote job.
Participants are not being asked to write code, evaluate AI responses or perform administrative work.
Instead, eligible participants will provide existing visual material of themselves.
According to the project description, each participant will be required to submit:
30 selfies
Participants must provide 30 high-quality, unedited photographs of themselves taken during the past five years.
10 video recordings
Participants must also provide 10 video recordings of themselves from within the past five years.
The photographs and videos should have been captured using a smartphone or camera and should be clear enough to meet the project's requirements.
Filters and image editing may need to be removed
People increasingly use:
- beauty filters,
- facial smoothing,
- colour adjustments,
- social-media filters,
- AI image enhancement,
- background effects,
- retouching tools.
Those modifications can change the underlying facial information contained in an image.
Because the objective of the project is to collect useful real-world facial data, micro1 instructs participants to remove possible filters and edits from photographs and videos being submitted.
Applicants therefore need access to sufficiently clear original material.
You must apply with a sibling
This is one of the most important requirements.
A person cannot complete the entire sibling-participation process by applying alone.
Both siblings must submit separate applications.
micro1 states that onboarding cannot take place until applications have been completed for both participants.
That means someone interested in the opportunity should first identify the sibling who will participate with them and have both individuals complete the application process.
Apply for the sibling AI facial data project →
Correction: use the official opportunity link below:
micro1 — AI Facial Data Collection Associate (Siblings) →
What skills are required?
Despite the high advertised hourly rate, the formal skills requirements are relatively straightforward.
micro1 lists four primary requirements:
Selfies · Video recordings · Attention to detail · Following instructions
Applicants should be able to:
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- Locate appropriate photographs and videos from the previous five years.
- Determine whether those files contain filters or modifications.
- Follow the project's submission requirements carefully.
- Work independently.
- Report technical or submission problems.
- Respond to feedback and correct submissions where necessary.
No prior artificial-intelligence training or professional AI experience is listed as necessary.
Why would AI developers want sibling facial data?
AI facial-recognition systems must learn something that humans perform almost effortlessly:
Recognize that two people may look similar while still understanding that they are different individuals.
This becomes especially challenging with people who share biological characteristics.
Siblings may have similarities involving:
- facial geometry,
- eyes,
- nose structure,
- jaw shape,
- skin characteristics,
- expressions,
- age-related appearance patterns.
Training and evaluating AI systems against these kinds of real-world similarities can potentially help developers determine where facial-recognition technology performs well — and where it makes mistakes.
That is one reason carefully structured human facial datasets can have significant value for AI development.
Why photographs from several different years can be useful
Another interesting aspect of the assignment is micro1's request for photographs and videos covering the past five years.
Human appearance changes.
Someone may:
- grow or remove facial hair,
- change hairstyles,
- gain or lose weight,
- wear different glasses,
- age,
- change lighting environments,
- use different cameras,
- photograph themselves from different angles.
AI systems designed to recognize people in real-world environments need to operate despite many of these variations.
A collection spanning several years can therefore provide considerably richer information than 30 photographs taken during a single photo session.
The opportunity reflects a much larger AI data economy
micro1's sibling project is also an example of an emerging AI employment category:
People being compensated for the data, expertise and real-world knowledge required to train AI.
AI development increasingly depends upon human contributions such as:
Professional expertise
Doctors, lawyers, engineers, accountants and other specialists can help evaluate domain-specific AI performance.
Human feedback
People can evaluate whether AI answers, images or decisions are accurate.
Operational knowledge
Businesses can provide workflows and real-world examples showing how professional work is performed.
Voice data
Recordings can help train speech-recognition and voice-generation systems.
Visual data
Images and videos can help train computer-vision systems.
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Biometric data
Carefully collected facial or other human characteristics can help developers evaluate recognition systems.
The AI economy therefore isn't creating opportunities exclusively for programmers.
In many cases, ordinary human experience itself is becoming valuable training material.
Applicants should understand what they are submitting
There is an important consideration with an opportunity such as this.
Facial images are different from submitting a résumé or answering a survey.
They may constitute biometric or personally identifiable information depending on how the information is collected, processed and used and which jurisdiction applies.
Anyone considering participation should therefore read the applicable project agreement, consent language, privacy policy and data-use terms carefully before submitting photographs or videos.
Applicants should understand matters such as:
- what information is being collected,
- who will receive it,
- what purposes it can be used for,
- how long it may be retained,
- whether it can be shared with customers or partners,
- what rights participants retain,
- and whether deletion or withdrawal rights are available.
The advertised compensation may be attractive, but participants should make that decision with a clear understanding of the data agreement.
Who could be a good fit?
This opportunity may be worth reviewing for adults who:
- have a sibling willing to participate,
- have clear photographs and videos covering the previous five years,
- are comfortable submitting facial data for AI-development purposes,
- can follow detailed instructions,
- are comfortable working independently,
- and understand the privacy and consent terms associated with participation.
Both siblings will need to submit their own applications before onboarding can be completed.
How to apply
micro1 currently lists the position as a remote contractor opportunity with 3,997 openings and advertised compensation of $139–$140 per hour.
Applicants can review the complete opportunity, requirements and application process through the micro1 listing.
Interested? Review the terms before submitting your data, then apply directly through micro1.
Apply: AI Facial Data Collection Associate (Siblings) — micro1 →
For people comfortable participating in AI facial-data research, this is another indication of how rapidly the AI labor market is expanding beyond software development.
The next generation of AI isn't being built only by engineers. It is increasingly being built using the experiences, expertise, voices, images and real-world data of ordinary people.
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