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Volunteer Remote Data Labelling Jobs (NOW HIRING)

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Cheyenne, WY · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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All JobsVolunteer Remote Data Labelling Jobs

Volunteer Remote Data Labelling information

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$46K

$165K

$243.5K

How much do volunteer remote data labelling jobs pay per year?

As of Jun 8, 2026, the average yearly pay for volunteer remote data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Remote Data Labelling vs Remote Data Annotation?

AspectVolunteer Remote Data LabellingRemote Data Annotation
CredentialsNone typically required, basic computer skillsOften similar, may require familiarity with annotation tools
Work EnvironmentRemote, flexible, volunteer basisRemote, paid or unpaid depending on the role
Industry UsageUsed in AI training, research projectsUsed in AI, machine learning, and data science projects

Volunteer Remote Data Labelling involves unpaid tasks where individuals label data for research or nonprofit projects, often with minimal credentials. Remote Data Annotation typically refers to paid roles with similar tasks but may require some familiarity with annotation tools. Both roles are remote and support AI development, but volunteer labelling is unpaid and driven by altruism, while data annotation can be paid and more structured.

More about Volunteer Remote Data Labelling jobs
What cities are hiring for Volunteer Remote Data Labelling jobs? Cities with the most Volunteer Remote Data Labelling job openings:
What states have the most Volunteer Remote Data Labelling jobs? States with the most job openings for Volunteer Remote Data Labelling jobs include:
What job categories do people searching Volunteer Remote Data Labelling jobs look for? The top searched job categories for Volunteer Remote Data Labelling jobs are:
Volunteer Remote Data Labelling jobs near you
Infographic showing various Volunteer Remote Data Labelling job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 87% Full Time, and 12% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI/ML Data Contributor

TSMG

Los Angeles, CA • Remote

Full-time

Posted 12 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.