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Remote Data Annotator Jobs (NOW HIRING)

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine ...

... remote work? Are you interested in shaping the development and safety of today's AI models? What ... AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine ...

This is an excellent long-term, 100% remote contract opportunity for a highly detail-oriented ... Team members use data-driven processes to locate and review images containing defects of interest ...

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Remote Data Annotator information

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$46K

$165K

$243.5K

How much do remote data annotator jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Remote Data Annotator?

A Remote Data Annotator is a professional who labels, categorizes, or tags data—such as images, text, audio, or video—while working from a remote location. This annotated data is then used to train and improve machine learning models and artificial intelligence systems. Data annotators ensure the quality and accuracy of data, which is crucial for AI applications like self-driving cars, voice recognition, and search engines. The work can vary from simple labeling tasks to more complex categorization, depending on the project requirements.

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

To thrive as a Remote Data Annotator, you need strong attention to detail, accuracy, and a basic understanding of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes basic coding or spreadsheet software is typically required. Excellent time management, communication, and self-motivation help you consistently meet deadlines and quality standards while working independently. These skills and qualities ensure the precise labeling of data necessary for training reliable AI and machine learning models.

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

Remote data annotators often encounter challenges such as maintaining focus during repetitive tasks, ensuring annotation accuracy, and communicating effectively with distributed teams. To overcome these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and leverage collaboration tools for clear communication with project managers and peers. Additionally, staying updated with project guidelines and seeking feedback can significantly improve both productivity and annotation quality.

What is the difference between Remote Data Annotator vs Remote Data Labeler?

AspectRemote Data AnnotatorRemote Data Labeler
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 FocusAnnotating complex data types (images, videos)Labeling simpler data (images, text)

Remote Data Annotators typically handle complex data annotation tasks like videos and images, requiring more detailed work. Remote Data Labelers focus on simpler labeling tasks, often involving images or text. Both roles are remote, involve similar skills, and are used in AI and machine learning industries, but differ in complexity and scope of data handled.

More about Remote Data Annotator jobs
What cities are hiring for Remote Data Annotator jobs? Cities with the most Remote Data Annotator job openings:
What are the most commonly searched types of Data Annotator jobs? The most popular types of Data Annotator jobs are:
What states have the most Remote Data Annotator jobs? States with the most job openings for Remote Data Annotator jobs include:
What job categories do people searching Remote Data Annotator jobs look for? The top searched job categories for Remote Data Annotator jobs are:
Infographic showing various Remote Data Annotator job openings in the United States as of June 2026, with employment types broken down into 46% Part Time, 8% Temporary, and 46% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Trainer - Freelance Data Annotator

Toloka Annotators

Remote

$23/hr

Part-time

Posted 21 days ago


Job description

Please submit your resume in English and indicate your level of English.
At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.
What we do
The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.
About the Role
Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.
Responsibilities:
  • Carefully review provided data (text, images, or videos)
  • Label or classify content based on project guidelines
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.
Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.
Requirements
  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • Logical thinking, fact-checking and reasoning abilities
  • Strong attention to detail and ability to understand and follow complex instructions
  • Strong communication skills, including the ability to ask clarifying questions when needed
  • Genuine interest in technology and artificial intelligence

Benefits
Why this freelance opportunity might be a great fit for you?
  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.