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Internship Ai Annotation Jobs (NOW HIRING)

Helm.ai

Senior Software Engineer

$150K - $250K/yr

Helm.ai builds AI software for autonomous driving and robotics. Our Deep Teaching™ methodology is ... Our unsupervised learning software can train neural networks without the need for human annotation ...

New

Aicadium

Sr. CV/ML Scientist

San Diego, CA

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... internships, or substantial project experience in computer vision, robotics, or embodied AI.

AIcadium

Sr. CV/ML Scientist

San Diego, CA · On-site

$150K - $180K/yr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... internships, or substantial project experience in computer vision, robotics, or embodied AI.

Labelbox

Cyber Security Intern

San Francisco, CA · On-site

... frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow ... This is an hourly internship position. Your Impact * Support day to day triage and analysis of ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

We are currently hiring both full-time and interns to join our R&D team. Responsibilities ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

... internships or projects). * Proficiency in Java (our core analytics language) or Python (for AI/ML ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

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Internship Ai Annotation information

What are the typical responsibilities of an AI Annotation Intern, and how do they contribute to the overall AI development process?

As an AI Annotation Intern, your primary responsibility is to label and categorize large sets of data—such as images, text, or audio—which are crucial for training and improving machine learning models. You'll work closely with data scientists, machine learning engineers, and other annotators to ensure accuracy and consistency in the datasets. This role often involves using specialized annotation tools, reviewing outputs, and flagging ambiguous data. Your work is vital for building high-quality AI systems, and you'll gain valuable insights into how annotated data directly impacts model performance and decision-making. Additionally, interns often have opportunities to learn about the end-to-end AI development process and may progress into more advanced roles with experience.

What is the difference between Internship Ai Annotation vs Data Labeler?

AspectInternship Ai AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; minimal technical requirements
Work EnvironmentOffice or remote; collaborative with AI/tech teamsOffice or remote; focused on data preparation tasks
Industry UsageAI development, machine learning projectsData management, AI training datasets
Search & Comparison IntentUnderstanding roles in AI data annotationSimilar data labeling roles in AI projects

Internship Ai Annotation typically involves entry-level tasks in AI data annotation, often as part of an internship program, focusing on labeling data for machine learning models. Data Labelers perform similar tasks but may not be part of an internship and often work on larger datasets. Both roles require basic technical skills and are essential in AI development, but internships usually offer training and career development opportunities.

What are the key skills and qualifications needed to thrive as an AI Annotation Intern, and why are they important?

To thrive as an AI Annotation Intern, you need attention to detail, basic data analysis skills, and familiarity with data labeling concepts, usually supported by coursework in computer science or related fields. Experience with annotation tools like Labelbox, Supervisely, or CVAT, as well as understanding of data privacy protocols, is highly valuable. Strong communication, time management, and the ability to follow complex guidelines help you excel in this position. Mastering these skills ensures high-quality, accurate datasets that are critical for training reliable AI models.

What is an AI Annotation Intern?

An AI Annotation Intern is someone who helps train artificial intelligence models by labeling and categorizing data, such as images, text, or audio. This process, known as data annotation, is crucial for improving the accuracy of machine learning algorithms. Interns typically work under supervision to ensure the data is correctly tagged according to specific guidelines. The role provides hands-on experience in the field of AI and machine learning, often requiring attention to detail and familiarity with annotation tools.
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Internship Ai Annotation jobs near you
Infographic showing various Internship Ai Annotation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

3ds

San Diego, CA • On-site, Remote

$22 - $40/hr

Full-time, Internship

Posted 22 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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