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How much do annotator job jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for annotator job in the United States is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $25.00 per hour, depending on experience, location, and employer.

What qualifications do you need to be a data annotator?

Data annotators typically need a high school diploma or equivalent, strong attention to detail, and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.

What are annotator jobs?

Annotator jobs involve labeling, tagging, or adding metadata to data such as text, images, audio, or video. This work is crucial for training artificial intelligence and machine learning systems, as annotated data helps computers learn to recognize patterns and make decisions. Annotators must pay close attention to detail and generally follow specific guidelines to ensure consistency and accuracy in their work. These jobs can be found in various industries, including technology, healthcare, and autonomous vehicles.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer fixed project-based pay or part-time schedules, with higher rates for specialized or technical annotations.

What is the work of an annotator?

An annotator is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. This work often involves using specialized tools and requires attention to detail to ensure data accuracy and consistency.

What is the difference between Annotator Job vs Data Labeler?

AspectAnnotator JobData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsSimilar; often requires basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Employer & Industry UsageTech companies, AI firms, research institutionsSame as Annotator Job; used interchangeably in many contexts

Both Annotator Jobs and Data Labelers perform similar roles in preparing data for AI and machine learning. While the titles are often used interchangeably, 'Annotator Job' may emphasize the annotation process, whereas 'Data Labeler' highlights the labeling aspect. Both roles require attention to detail and basic technical skills, and they are commonly found in tech and AI industries.

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

To thrive as an Annotator, you need excellent attention to detail, strong reading comprehension, and familiarity with data labeling or annotation guidelines, often supported by a high school diploma or relevant experience. Proficiency with annotation platforms and tools such as Labelbox, Prodigy, or basic spreadsheets is typically required. Strong communication skills, time management, and the ability to follow precise instructions help individuals stand out in this position. These skills ensure high-quality, accurate data annotation, which is crucial for training reliable AI and machine learning models.

What are some common challenges faced by annotators, and how can they be managed effectively?

Annotators often encounter challenges such as maintaining accuracy while handling repetitive tasks, interpreting ambiguous data, and meeting tight deadlines. To manage these challenges, it's important to develop strong attention to detail, take regular breaks to avoid fatigue, and seek clarification from team leads when instructions are unclear. Collaborating with peers and participating in review sessions can also help improve consistency and resolve uncertainties in data labeling. Many organizations provide training and feedback to help annotators continuously refine their skills.

Is it hard to get hired for data annotation?

Getting hired as a data annotator can vary depending on the employer and the complexity of the annotation tasks. Generally, basic data annotation roles require attention to detail and sometimes familiarity with specific tools or guidelines, but they often do not require extensive experience or advanced qualifications. Competition may be moderate, and some positions are available as entry-level work with flexible schedules.
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What job categories do people searching Annotator Job jobs look for? The top searched job categories for Annotator Job jobs are:
Annotator Job jobs near you
Infographic showing various Annotator Job job openings in the United States as of July 2026, with employment types broken down into 16% Locum Tenens, 9% Internship, 52% As Needed, 22% Nights, and 1% Summer. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

AI Trainer - Freelance Annotator (English)

Toloka Annotators

Tampa, FL • Remote

$18/hr

Part-time

Posted yesterday

Job description

Please submit your CV in English and indicate your level of English proficiency. 

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

As an AI Trainer - Annotator, your contribution will help train AI models, shaping how they understand and interact with the world. This isn't just traditional feedback - you'll be evaluating and improving how AI reasons, responds, and handles real-world tasks like online shopping experiences.

While each project involves unique tasks, contributors may:

  • Evaluating AI-generated responses across a range of tasks, including e-commerce and online shopping scenarios, drawing on your own experience as an online shopper.
  • Providing honest, detailed, and useful feedback that helps improve model and agent performance.
  • Following style and quality standards to ensure consistency.
  • Collaborating with Quality Assurance Specialists to refine and improve content.

What we look for

If you're a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. This opportunity is a good fit if you are seeking for open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degree in any subject field;
  • At least 1 year of professional or educational experience in any field;
  • Strong written English (C1/C2);
  • Stable internet connection.

How it works 

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. 

Compensation 

On this project, contributors can earn up to $18 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Apply