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Remote Data Annotation Analyst Jobs (NOW HIRING)

Global Channel Management

Remote Data Modeling

$56 - $72.75/hr

Remote Data Modeling Woburn, MA, United States $ 64.00 - 65.00 (US Dollar) Remote Data Modeling ... Lead team projects to develop analysis automation and UIs for employees/customers. * Work with IT ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

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

TSMG

AI/ML Data Contributor

Louisville, KY · Remote

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

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

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

TSMG

AI/ML Data Contributor

Boise, ID · Remote

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

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

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

TSMG

AI/ML Data Contributor

Boise, ID · Remote

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

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

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

TSMG

AI/ML Data Contributor

New York, NY · Remote

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

TSMG

AI/ML Data Contributor

New Orleans, LA · Remote

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

TSMG

AI/ML Data Contributor

New York, NY · Remote

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

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

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

TSMG

AI/ML Data Contributor

Cheyenne, WY · Remote

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

TSMG

AI/ML Data Contributor

Birmingham, AL · Remote

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

TSMG

AI/ML Data Contributor

New Orleans, LA · Remote

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

TSMG

AI/ML Data Contributor

Oklahoma City, OK · Remote

... 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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All JobsRemote Data Annotation Analyst Jobs

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.
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Remote Data Annotation Analyst jobs near you
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.
Creative Writing Generative AI Analyst - USA (Remote)

Creative Writing Generative AI Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$28.80/hr

Full-time

Posted 2 hours ago

Job description

About the Role

We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.

Project Details
  • Job Title: Creative Writing Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour
What You’ll Do
  • Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
  • Create, review, and evaluate prompts and responses across a variety of domains and use cases
  • Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
  • Assist in developing and refining annotation guidelines and evaluation criteria
  • Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
  • Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
  • Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
  • Provide feedback on workflows, tooling, and annotation processes
Requirements:
  • Native level proficiency English with excellent written and verbal communication skills.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to follow complex annotation guidelines
  • Interest in creative writing, generative AI, machine learning, and emerging AI technologies
  • Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
  • Bachelor’s degree or equivalent practical experience
Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
  • Domain knowledge in Law/Medical/Math/Coding/etc is a plus
  • Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
  • Experience annotating prompts, responses, images, video sequences, or other AI training data
  • QA/testing experience within AI, data operations, or content review environments
  • Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
  • Python or scripting experience is a plus
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.