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Internship Online Data Annotation Jobs (NOW HIRING)

Teleskope

Jr. AI Engineer - Data Annotation

New York, NY · On-site

$75K - $90K/yr

Familiarity with active learning or online learning approaches. * Experience with SQL and building ... most sensitive data. * Ownership of the annotation and quality processes that determine ...

FieldAI

Senior Data Operations Engineer

Boston, MA · On-site

$110K - $140K/yr

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation - 25% * Manage and schedule data collection interns and ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation -- 25% * Manage and schedule data collection interns and ...

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Internship Online Data Annotation information

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$42

How much do internship online data annotation jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship online data annotation in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Online Data Annotation vs Data Labeling Specialist?

AspectInternship Online Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsUsually requires experience or training in data labeling tools
Work EnvironmentRemote, flexible, often part-timeRemote or on-site, depending on employer
Industry UsageCommon in AI/ML projects, tech companiesUsed in AI, autonomous vehicles, healthcare, and more

Internship Online Data Annotation roles are often entry-level, focusing on training and learning, while Data Labeling Specialists are more experienced, handling complex labeling tasks. Both roles are essential in AI development but differ in experience requirements and scope.

What are the key skills and qualifications needed to thrive as an Internship Online Data Annotation, and why are they important?

To thrive as an Internship Online Data Annotation, you generally need attention to detail, basic computer skills, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes Excel or similar spreadsheet software is typically required. Strong communication, reliability, and the ability to follow precise instructions make candidates stand out in this role. These skills ensure high-quality, accurate data labeling, which is vital for training reliable machine learning models.

What are Internship Online Data Annotation positions?

Internship Online Data Annotation positions are temporary roles, often held by students or recent graduates, where individuals label and categorize data such as images, text, or audio for use in machine learning and artificial intelligence projects. Interns work remotely or in-office to ensure data is accurately annotated according to project guidelines, helping to train and improve AI models. These internships provide hands-on experience in data management, attention to detail, and exposure to AI technologies. They are ideal for those interested in technology, data science, or AI fields, and can be a stepping stone to more advanced roles.

What types of data and tools will I typically work with during an Online Data Annotation internship?

As an Online Data Annotation intern, you'll commonly work with a variety of data types such as text, images, audio, or video, depending on the project's focus. You'll use specialized annotation platforms or software to label and categorize data accurately for use in machine learning models. Interns often collaborate with data scientists and engineers to understand project requirements and ensure high-quality outputs. Attention to detail and following precise guidelines are key challenges in this role, but you'll gain valuable exposure to real-world AI development workflows.

What is a data annotation intern?

A data annotation intern is a person who assists in labeling and categorizing data, such as images, text, or videos, to help train machine learning models. This role typically involves using annotation tools and requires attention to detail, often on a temporary or part-time basis. It provides practical experience in data preparation and AI development processes.

How much do data annotation jobs pay?

Data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many roles are remote and may require basic skills in data labeling tools or software. Pay rates can vary based on project scope and the level of detail required in annotations.

How hard is it to get hired at data annotation?

Getting hired for an online data annotation internship typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools. Many positions are entry-level and do not require extensive experience or certifications, making the application process relatively accessible for beginners.

Does data annotation actually pay you?

Data annotation jobs, including online data annotation internships, typically pay workers for their time and effort, often on an hourly or per-task basis. Payment rates vary depending on the platform, complexity of the task, and the employer, but most legitimate opportunities provide compensation for completed work. It is important to verify the payment terms before starting any data annotation work to ensure fair compensation.
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Internship Online Data Annotation jobs near you
Infographic showing various Internship Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 14 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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