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Annotator Jobs (NOW HIRING)

LegalOn Technologies

Annotator

San Francisco, CA · On-site +1

$25 - $30/hr

About the role LegalOn is building AI that in-house legal teams can actually trust. To do that, we need legal professionals who can evaluate AI output the way a practitioner would, both for technical ...

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How much do annotator jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for annotator 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 are typical responsibilities for an Annotator on a daily basis?

As an Annotator, your daily tasks usually involve reviewing and labeling large sets of data, such as text, images, audio, or videos, based on specific project guidelines. You may need to work closely with other annotators, project managers, or data scientists to ensure labeling consistency and resolve ambiguities in the data. Quality assurance is a key component, with regular feedback and accuracy checks to maintain high standards. This role may also involve adapting to new guidelines as projects evolve or as clients' requirements change.

What does an Annotator do?

An Annotator is responsible for labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. They follow specific guidelines to ensure accuracy and consistency in data annotation. This role is essential in improving artificial intelligence applications, such as chatbots, image recognition systems, and automated speech recognition. Annotators often work with large datasets and use specialized tools to complete their tasks efficiently.

Which 3 jobs will survive AI?

Annotators are likely to continue working alongside AI systems, focusing on tasks like data labeling, quality assurance, and complex interpretation that require human judgment. Jobs involving creative thinking, emotional intelligence, and strategic decision-making—such as designers, therapists, and managers—are also expected to persist. These roles often require skills that are difficult for AI to replicate fully.

Is it hard to get hired for data annotation?

Getting hired as a data annotator can be straightforward if you have basic computer skills and attention to detail. Many companies require minimal formal education and may conduct simple assessments or training, making entry-level positions accessible. Competition varies depending on the platform and job volume, but overall, it is generally not very difficult to find opportunities in data annotation.

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, and proficiency with annotation tools can influence pay rates.

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

Success as an Annotator requires attention to detail, strong reading comprehension, and the ability to consistently apply guidelines to label data accurately, often supported by a high school diploma or equivalent. Familiarity with annotation tools, databases, and sometimes basic knowledge of programming languages like Python can be beneficial. Excellent communication, time management, and the ability to work independently or in a team are valuable soft skills. These skills are crucial for producing high-quality, reliable datasets that support machine learning and research projects.

What is an annotator job?

An annotator job involves labeling or tagging data, such as images, text, or audio, to help train machine learning models. The work typically requires attention to detail, knowledge of specific guidelines, and familiarity with annotation tools or software. It is often performed remotely and may be part-time or freelance.
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Annotator jobs near you
Infographic showing various Annotator job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 45% Full Time, 26% Part Time, and 28% Contract. Highlights an 45% Physical, and 55% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

AI Trainer - Freelance Data Annotator

Mindrift - Data annotation

New York, NY • Remote

$23/hr

Part-time

Posted 9 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.

Apply