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Remote Data Annotation Analyst Jobs (NOW HIRING)

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... annotation, and content evaluation * Participate in remote assignments or attend on-site sessions ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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Remote Data Annotation Analyst information

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$34K

$82.6K

$136K

How much do remote data annotation analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Analyst, and why are they important?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
More about Remote Data Annotation Analyst jobs
What cities are hiring for Remote Data Annotation Analyst jobs? Cities with the most Remote Data Annotation Analyst job openings:
What are the most commonly searched types of Data Annotation Analyst jobs? The most popular types of Data Annotation Analyst jobs are:
What states have the most Remote Data Annotation Analyst jobs? States with the most job openings for Remote Data Annotation Analyst jobs include:
Infographic showing various Remote Data Annotation Analyst job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 69% Full Time, and 29% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

AI/ML Data Contributor

TSMG

Des Moines, IA • Remote

Full-time

Posted 27 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.