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How much do online data annotation jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for online data annotation in the United States is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.00 per hour, depending on experience, location, and employer.

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

To thrive as an Online Data Annotation professional, you need strong attention to detail, excellent reading comprehension, and basic computer proficiency, often demonstrated through a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and occasionally frameworks like Labelbox or Prodigy is valuable, though on-the-job training is commonly provided. Outstanding time management, adaptability, and the ability to follow precise guidelines will help you excel in this role. These skills and qualities ensure accurate, high-quality data labeling that powers AI and machine learning applications.

What does a typical day look like for someone working in Online Data Annotation?

As an Online Data Annotation specialist, your day will usually involve reviewing various types of data—such as images, text, or audio—and carefully applying labels or tags according to strict guidelines provided by clients or team leads. Most positions are remote and individual-focused, allowing flexibility in managing your workflow, though you may regularly communicate with supervisors for feedback or updates. Deadlines and productivity targets are common, so staying organized and focused on accuracy is crucial. Over time, you may have opportunities to work on more complex annotation projects or take on quality assurance responsibilities, supporting your professional growth in the data and AI sectors.

What is an Online Data Annotation job?

An Online Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video to help improve machine learning models. Annotators follow guidelines to ensure accuracy and consistency, making AI systems more effective. This work is typically done remotely and requires attention to detail. Many companies use data annotation to train AI applications like chatbots, image recognition software, and search engines.

More about Online Data Annotation jobs
What cities are hiring for Online Data Annotation jobs? Cities with the most Online Data Annotation job openings:
What are the most commonly searched types of Data Annotation jobs? The most popular types of Data Annotation jobs are:
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Online Data Annotation jobs near you
Infographic showing various Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $51,976 per year, or $25 per hour.

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 4 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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