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Intern Remote Data Labeling Jobs (NOW HIRING)

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

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

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

Oklahoma City, OK · 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

Wichita, KS · 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 ...

Recruitment Room

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data ... Your work will involve labeling, categorizing, and annotating diverse datasets to ensure accuracy ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

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How much do intern remote data labeling jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for intern remote data labeling in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Intern Remote Data Labeling vs Intern Remote Data Annotation?

AspectIntern Remote Data LabelingIntern Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusLabeling data for training AI modelsAnnotating data to improve model accuracy

Both roles involve remote work and require similar skills, but data labeling typically emphasizes categorizing data, while data annotation may include adding detailed notes or tags. Understanding these differences helps candidates choose the right position aligned with their skills and career goals.

Is data labeling work from home?

Data labeling jobs, including those for remote data labelers, are often performed from home. These roles typically require a computer, internet connection, and attention to detail, and they can offer flexible schedules. However, specific companies may have different requirements or preferences for remote work arrangements.

How much are data labelers paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on the company, experience, and complexity of the labeling tasks. Pay rates can vary, and some positions may offer project-based or piece-rate compensation instead of hourly wages.

Is data labelling a good career?

Data labeling is a common entry-level role in the data annotation industry, involving categorizing and tagging data for machine learning models. It offers flexible remote work options and can develop skills in data management and AI, but typically has limited advancement opportunities without additional training or experience.

How can I get started in data labeling?

To get started as a remote data labeler, you should develop basic computer skills and familiarize yourself with labeling tools or platforms. Many companies require attention to detail and sometimes offer training or onboarding to new labelers; some roles may also require a reliable internet connection and flexible schedule.
What cities are hiring for Intern Remote Data Labeling jobs? Cities with the most Intern Remote Data Labeling job openings:
What are the most commonly searched types of Remote Data Labeling jobs? The most popular types of Remote Data Labeling jobs are:
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Intern Remote Data Labeling jobs near you

AI/ML Data Contributor

TSMG

Salt Lake City, UT • Remote

Full-time

Re-posted 20 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.