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Data Annotation Intern Jobs (NOW HIRING)

Tt

AI & Computer Vision Intern

New York, NY

Programming and data tools: Python and/or MATLAB for simple data manipulation, visualization, and ... Labeling platforms: experience with image or point cloud annotation tools (e.g., Supervisely, CVAT ...

BAE Systems

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... Intern Benefits: Temporary employees generally are not eligible for BAE Systems benefits, but can ...

BAE Systems

Imagery Anst II

Falls Church, VA · On-site

$79K - $134K/yr

Experience with Machine Learning training data creation, annotation, and review as well as ... Intern Benefits: Temporary employees generally are not eligible for BAE Systems benefits, but can ...

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Data Annotation Intern information

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$12

$22

$42

How much do data annotation intern jobs pay per hour?

As of Jun 25, 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 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.

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 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.
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Data Annotation Intern jobs near you
Infographic showing various Data Annotation Intern job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

3ds

San Diego, CA • On-site, Remote

$22 - $40/hr

Full-time, Internship

Posted 6 days ago

Job description

Role & Responsibilities
As an Intern in the BIOVIA MARIE Scientific Virtual Companion team, you will contribute to the development of agentic AI solutions and machine learning capabilities on Dassault Systèmes' 3DEXPERIENCE platform and BIOVIA's Pipeline Pilot AI platform. Your work will empower scientists and researchers to solve complex challenges in cheminformatics, medical imaging, and scientific data processing.
Key Responsibilities
  • Develop AI Agents & Workflows:
    Design, implement, and optimize intelligent agents for scientific applications (e.g., chemistry, biology) using Pipeline Pilot and 3DEXPERIENCE. Build scalable, user-friendly workflows with graphical interfaces.
  • Machine Learning Innovation:
    Research, develop, and deploy state-of-the-art deep learning algorithms for image analysis, tabular data processing, and scientific applications. Explore federated learning, continuous learning, and model optimization.
  • Collaboration & Product Development:
    Work with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality solutions. Participate in design, testing, and validation of AI/ML workflows.
  • Quality & Automation:
    Contribute to automated testing to ensure robustness and reliability of new functionalities. Support workflow automation and AI-driven capabilities in Pipeline Pilot.
  • Project Focus Areas:
    Potential projects include medical imaging quality control (e.g., MRI validation), deep learning model optimization, image annotation tools, privacy-preserving AI, and scientific workflow automation.

Qualifications
Education
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Data Science, Biomedical Engineering, Electrical Engineering, or a related technical field.
  • Must remain actively enrolled in an accredited university for the duration of the internship.
  • Minimum cumulative GPA of 3.0.

Technical Skills & Experience
  • Required:
    • Proficiency in Python programming.
    • Experience with agentic AI, LLMs, and AI libraries (e.g., LangChain, LangGraph).
    • Familiarity with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch).
    • Knowledge of scientific computing libraries (e.g., NumPy, pandas, scikit-learn, OpenCV).
  • Preferred:
    • Experience with data pipelines, cheminformatics, or medical imaging workflows.
    • Hands-on experience with model training, deployment, or workflow automation.
    • Exposure to image processing, annotation tools, or federated learning.

Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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