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Ai Data Annotation Remote Work Jobs (NOW HIRING)

TSMG

AI/ML Data Contributor

Boise, ID · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Des Moines, IA · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Miami, FL · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Columbia, SC · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours ... Surface nuances that distinguish expert-level work from surface-level reasoning. * Design ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

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Ai Data Annotation Remote Work information

What is the difference between Ai Data Annotation Remote Work vs Data Labeler?

AspectAi Data Annotation Remote WorkData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, data services, tech companies
Job FocusAnnotating data for AI modelsLabeling data for machine learning

Ai Data Annotation Remote Work involves annotating data specifically for AI training, often requiring familiarity with annotation tools. Data Labelers perform similar tasks but may focus more broadly on labeling data for various machine learning projects. Both roles are remote-friendly and essential in AI development, but Ai Data Annotation Remote Work emphasizes working with AI-specific datasets and tools.

What are some common challenges faced by remote AI data annotators, and how can they be addressed?

Remote AI data annotators often face challenges such as maintaining consistent data quality, managing repetitive tasks, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a clear daily routine, make use of productivity tools, and participate actively in online team channels or meetings. Regular feedback from supervisors and collaboration with peers can also help clarify guidelines and ensure the annotation process remains accurate and efficient.

What are the key skills and qualifications needed to thrive as an AI Data Annotation Specialist working remotely, and why are they important?

To thrive as an AI Data Annotation Specialist in a remote setting, you need strong attention to detail, data literacy, and often a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes experience with basic scripting or spreadsheet software, is typically required. Excellent communication, time management, and self-motivation are essential soft skills for effective independent work and collaboration with distributed teams. These skills ensure high-quality, consistent data labeling that directly impacts the performance and accuracy of AI models.

What is AI data annotation remote work?

AI data annotation remote work involves labeling or tagging data—such as images, text, or audio—from a location outside of a traditional office, typically from home. Annotators play a crucial role in preparing datasets that train artificial intelligence systems to recognize patterns and make decisions. This job requires attention to detail, familiarity with annotation tools, and sometimes subject-matter knowledge depending on the data type. It's suitable for individuals seeking flexible or part-time work, and tasks can range from simple image labeling to complex language or object identification.
Infographic showing various Ai Data Annotation Remote Work job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI/ML Data Contributor

TSMG

Boise, ID • Remote

Part-time

Posted 16 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.