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Data Annotation Intern Jobs (NOW HIRING)

DataAnnotation

$40/hr

A data annotation company is seeking a Graduate Physics Research Intern to evaluate AI advances by addressing complex physics problems to chatbots. Candidates should have a strong understanding of ...

IPG Photonics

Intern, Engineering

Marlborough, MA · On-site

$17.25 - $22.50/hr

The Engineering Intern will support the team by working with SBO crystal imaging data, including ... Interest in machine learning, data annotation, or computer vision concepts * Experience with MS ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131.10K - $154.60K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA

$131.10K - $154.60K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

Alignerr

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Prior experience with data annotation, data quality, or evaluation systems. * Master's Degree or PhD Why Join Us: * Competitive pay and flexible remote work. * Collaborate with a team working on ...

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How much do data annotation intern jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data annotation intern 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 are the key skills and qualifications needed to thrive as a Data Annotation Intern, and why are they important?

To thrive as a Data Annotation Intern, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a background in computer science or related fields. Familiarity with annotation tools like Labelbox, Supervisely, or CVAT and understanding of data formats such as JSON or XML are typically required. Effective communication, time management, and the ability to follow complex guidelines are important soft skills for this role. These skills ensure high-quality, consistent data labeling, which is crucial for training accurate machine learning models.

What are some common challenges faced by Data Annotation Interns and how can they be overcome?

Data Annotation Interns often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially when guidelines evolve or when dealing with ambiguous cases. To overcome these challenges, it's important to frequently review annotation guidelines, communicate proactively with supervisors or team members for clarification, and participate in regular quality checks. Collaborating with experienced annotators and leveraging feedback provided during peer reviews can also help interns improve their accuracy and efficiency.

What are Data Annotation Interns?

Data Annotation Interns are entry-level professionals who assist in labeling and categorizing data, such as images, audio, or text, to help train machine learning models. Their work is crucial for ensuring that AI systems can accurately interpret and process various types of data. Interns typically use specialized software tools to annotate data according to specific guidelines, and they may also help with data quality checks. This position is ideal for those interested in gaining experience in artificial intelligence, data science, or related fields.

What is the difference between Data Annotation Intern vs Data Labeling Specialist?

AspectData Annotation InternData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant experience or certifications in data labeling
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation projects
Industry UsageCommon in tech, AI, and machine learning industriesUsed across similar industries for data preparation
Job FocusLearning and assisting with data annotation tasksPerforming detailed data labeling and quality control

While both roles involve working with data annotation, a Data Annotation Intern is typically a beginner or student gaining experience, whereas a Data Labeling Specialist is a more experienced professional focused on precise data labeling tasks. Interns often work under supervision, while specialists handle independent projects.

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Data Annotation Intern jobs near you
Infographic showing various Data Annotation Intern job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Remote Mathematics AI Research Intern

Remote Mathematics AI Research Intern

DataAnnotation

Helena, MT • On-site, Remote

$40/hr

Internship

Posted 22 days ago

Job description

A leading data annotation firm is seeking a Graduate Research Intern in Mathematics to train AI models remotely. You will solve complex mathematical problems for AI chatbots and assess their performance. Candidates should have strong skills in various mathematical disciplines and fluency in English.

This position offers flexible hours and competitive hourly pay starting at $40, with opportunities for bonuses based on quality and volume of work. #J-18808-Ljbffr

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