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Remote Data Annotation Specialist Jobs (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Showing results 41-60

Remote Data Annotation Specialist information

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$28K

$72.9K

$88K

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

As of Aug 17, 2026, the average yearly pay for remote data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote data annotation specialist?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What challenges do remote data annotation specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a remote data annotation specialist?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

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

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

More about Remote Data Annotation Specialist jobs

What cities are hiring for Remote Data Annotation Specialist jobs?

Cities with the most Remote Data Annotation Specialist job openings:

What are the most commonly searched types of Data Annotation Specialist jobs?

The most popular types of Data Annotation Specialist jobs are:

What states have the most Remote Data Annotation Specialist jobs?

States with the most job openings for Remote Data Annotation Specialist jobs include:

Infographic showing various Remote Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Generative AI Data Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$27.38/hr

Full-time

Re-posted 11 days ago


Job description

OVERVIEW

We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies.

Project Details

Job Title: Generative AI Analyst
Location: Remote
Hours: 40 hours weekly
Language: English (US)
Start date: April 2026
Employment Type: Full-time W-2 employee with benefits – 5 days a week
Pay rate: $27.38/hour
If you reside in California, please apply to the California-specific posting for the applicable rate

Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time).

Key Responsibilities
  • Creatively writing prompts and responses to a variety of diverse topics
  • Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging)
  • Evaluate model outputs for accuracy, relevance, and instruction-following
  • Identify and document issues such as hallucinations and inconsistencies
  • Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams
  • Training teams on best practices for creating Large Language Models/Data sets
Requirements
  • Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs)
  • Native or near-native English with excellent writing skills
  • Strong attention to detail and ability to follow guidelines consistently
  • Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools
  • 4 year Accredited College degree or equivalent experience

Ways to stand out from the crowd:

  • College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.)
  • Experience working in annotation platforms or structured labeling environments is a plus
  • Deep understanding of Large Language Models/RLHF
  • Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN
  • QA/testing experience

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.


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.