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Ai Data Annotator Jobs (NOW HIRING)

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

... rate, inter-annotator agreement, and pairwise preference scoring) Client Partnership ... Serve as the primary point of contact for enterprise AI clients; manage expectations, delivery ...

AddressHate

Research Annotator

Manhattan, NY · On-site +1

$19.75 - $27.25/hr

We are a public interest technology company at the intersection of research, AI, and policy. We ... Work closely with AddressHate's data science team, translating qualitative insights into structured ...

New

AddressHate

Research Annotator

Manhattan, NY · On-site +1

$19.75 - $27.25/hr

We are a public interest technology company at the intersection of research, AI, and policy. We ... Work closely with AddressHate's data science team, translating qualitative insights into structured ...

New

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA ...

Figure

Lead, Data Quality - Partnerships

San Jose, CA · On-site

$120K - $180K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

... AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team ... Analyze trends across projects to identify patterns in annotator performance, task complexity, and ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

... AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team ... Analyze trends across projects to identify patterns in annotator performance, task complexity, and ...

Apple Inc.

Data Scientist, AIML Data Scientist

Seattle, WA · On-site

$175.50 - $263.80/hr

... AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team ... Analyze trends across projects to identify patterns in annotator performance, task complexity, and ...

New

Gentuity LLC

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Responsibilities Participate in a key component of developing AI algorithms, that is, the creation and management of labeled data. Work in close collaboration with Gentuity's software and machine ...

Gentuity

AI Annotator Intern

Sudbury, MA · On-site

$15.75 - $21/hr

Responsibilities Participate in a key component of developing AI algorithms, that is, the creation and management of labeled data. Work in close collaboration with Gentuity's software and machine ...

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating ... A practices (inter-annotator agreement, spot checks, golden sets) • Knowledge of common ...

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All JobsAi Data Annotator Jobs

Ai Data Annotator information

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$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.
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Ai Data Annotator jobs near you
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.

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 21 days ago

Job description

Data Annotation reviewer (QA) (GenAI/LLM) role - Onsite -

Location: Louisville, KY

Duration: 2+ months with possibility if extensions

Role Description

As QA at Centific specializing in Generative AI Data Services, you will play a pivotal role in driving the success of our cutting-edge projects focused on building and enhancing Large Language Models (LLMs). Your primary responsibility will be to adhere to quality review instructions, pass, review or reject human-labeled data crucial for training AI models. In this dynamic and evolving field, you will be at the forefront of bridging the gap between human expertise and artificial intelligence, contributing significantly to the development of next-generation AI technologies. As a problem solver and highly organized lead, you will collaborate closely with internal teams and a global workforce, ensuring seamless communication, efficient execution, and successful delivery of projects.

Task Overview:
As a Data Annotation Reviewer, you will evaluate data annotation and bounding box responses from annotators. Your job is to ensure the correct annotation was applied within the input parameters match and the output is accurate and relevant according to the guidelines.

Key Responsibilities:

  • Review annotations to confirm they match the intended purpose of the guidelines.
  • Validate that the annotator answer is appropriate for the chosen function.
  • Check if the Annotation output includes all necessary information to filfull the guidelines.
  • Identify and assess individual data points in the AI response for accuracy and relevance.
  • Provide comments and feedback to clarify decisions or flag inconsistencies.

Language Proficiency:

  • Native level fluency in English.
  • Strong written and verbal communication skills in English.

Skills and Responsibilities

  • Assisting in the development and implementation of quality assurance policies.
  • Collaboration on project guidelines and supplemental learning materials.
  • Ensure compliance with client-specific requirements and performance standards in quality aspects of project execution.
  • Provide feedback and recommendations to PM team regarding UI design.
  • Review annotators and arbitrators weekly via the production monitoring process.
  • Review metrics and spot check individual tasks.
  • Record and flag quality issues.
  • Conduct end-of-day reporting to ensure smooth project handoffs and continuity across shifts.

Key Qualifications:

  • Located in Lousiville, KY and ability to work at client- on-site.
  • Required: Diploma and at least 2-3 years of experience in quality management, particularly in data services for AI.
  • Desired: Bachelor's degree, Linguistics or other related field of study
  • Experience writing data-labeling project guidelines and materials (or similar work in another field).
  • Ability to create useful and impactful insights for annotators and clients.
  • Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint.
  • General knowledge of online communication
  • Excellent communication both written and spoken.
  • Collaborative and solution focused.
  • Confidence and the ability to give/take feedback.
  • Ability to follow project directions and perform time bound tasks accurately and efficiently.
  • Ability to maintain quality while performing repetitive tasks.
  • Detail-oriented and problem-solving mindset.
  • Organized and focused enough to work independently as a role player within a team environment.

Availability:

  • Minimum of 30 hours per week.
  • Willingness to participate in training sessions and demos.

Certifications:

  • Successful completion of required certifications is mandatory.

Thanks and Regards,

Surbhi Yadav

Recruiter, Pro Integrate Consulting

New York | London | Bangalore

ISO 9001 and ISO 27001 Certified Company

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