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Ai Data Annotator Jobs (NOW HIRING)

As a Data Annotator, you will play a crucial role in improving the performance and accuracy of our AI models by providing high-quality annotated data. Psychology Degree is a huge plus! What You Will ...

Experience in AI data annotation, evaluation, or QA. What Success Looks Like: * High consistency in ... Feedback that improves annotator performance and overall output quality. * Contribution to a ...

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Ai Data Annotator information

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$46K

$165K

$243.5K

How much do ai data annotator jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai 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.

How much do AI data annotators make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer higher pay for specialized skills or advanced tools, and many roles are freelance or remote-based with flexible schedules.

What skills and qualifications are needed to be an AI data annotator?

To thrive as an AI Data Annotator, you need strong attention to detail, critical thinking abilities, and familiarity with data labeling guidelines or standards. Experience with data annotation platforms, basic computer skills, and sometimes exposure to AI tools or cloud-based systems are valuable assets. Excellent communication, time management, and the ability to work independently or within distributed teams help you stand out in this position. These skills ensure accurate, consistent data labeling that directly impacts the quality and performance of AI and machine learning models.

What does an AI data annotator do?

A typical day for an AI Data Annotator involves reviewing and accurately labeling large sets of images, text, audio, or video data according to detailed guidelines provided by machine learning project teams. You may use specialized annotation tools and collaborate virtually with data scientists or project managers to ensure consistency and quality in your work. The role often requires both independent focus as well as team check-ins to address questions or clarify standards. Over time, annotators can gain expertise in advanced labeling tasks, take on quality assurance responsibilities, or progress into roles such as annotation team lead or project coordinator.

What is an AI data annotator?

An AI Data Annotator is responsible for labeling and categorizing data to train machine learning models. This may include annotating images, text, audio, or video with relevant tags, bounding boxes, or classifications. The accuracy of annotations is crucial as it directly impacts the performance of AI algorithms. Annotators often follow specific guidelines to ensure consistency and quality. This role is essential in developing AI systems for tasks like image recognition, natural language processing, and autonomous driving.

How to become an AI data annotator?

To become an AI data annotator, you typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Some roles require a high school diploma or equivalent, and training is often provided by employers. Having knowledge of the specific data type, such as images, text, or audio, can be beneficial.
What cities are hiring for Ai Data Annotator jobs? Cities with the most Ai Data Annotator job openings:
What are the most commonly searched types of Ai Data Annotator jobs? The most popular types of Ai Data Annotator jobs are:
What states have the most Ai Data Annotator jobs? States with the most job openings for Ai Data Annotator jobs include:
Infographic showing various Ai Data Annotator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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

Mindrift - Data annotation

Dallas, TX โ€ข Remote

$23/hr

Part-time

Posted 20 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 inย 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 availableย 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.