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Internship Ai Annotation Jobs (NOW HIRING)

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 ...

Trunk Tools

Robotics Interns

Redmond, WA · On-site

$45/hr

Centific Physical AI Center of Excellence (PACE) build the hardware and software that powers robotics data collection - teleoperation, annotation, and model evaluation. You'll work hands-on in our ...

Trunk Tools

Robotics Interns

East Palo Alto, CA · On-site

$45/hr

Centific Physical AI Center of Excellence (PACE) build the hardware and software that powers robotics data collection - teleoperation, annotation, and model evaluation. You'll work hands-on in our ...

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 ...

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Senior Product Manager, Coding

San Francisco, CA · On-site

$149K - $196K/yr

... AI training gigs to first internships to full-time careers and beyond. This unique value is leading ... Familiarity with AI/ML training data, annotation workflows, or code evaluation benchmarks We Offer ...

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 ...

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 ...

Babel Street

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 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.

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 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 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.

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Internship Ai Annotation jobs near you
Infographic showing various Internship Ai Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Operations Specialist

San Francisco, CA • On-site

IntelliPro Group Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about IntelliPro Group Inc.external

Contractor

Re-posted yesterday

Job description

Title: Operation Manager
Location: San Francisco, CA 94158
Duration: 6 Months
#171219
Pay Rate : $35/hr
Monday - Friday 8-5, potentially will need to meet outside of these hours for global cross-functional calls
Top 3 Responsibilities
Design and Operationalize Scalable Playbooks: Create and document operational playbooks, standard operating procedures (SOPs), and workflows to establish repeatable solutions for global field data collection.
Manage End-to-End Pilot Execution: Plan, execute, and track field data collection pilots across multiple markets, which includes building project plans, managing timelines, and traveling to pilot locations as needed.
Drive Cross-Functional Alignment: Act as the central connective tissue between diverse stakeholders (Product, Engineering, Legal, Supply, Policy, etc.) to ensure alignment, unblock execution, and mitigate operational risks.
Mandatory Requirements
Education: A Bachelor's degree (B.A. or B.S.) in any field of study.
Relevant Experience: At least 2 years of experience in data collection, data annotation, or a related field (including internships).
Core Professional Skills: Strong communication and documentation skills (ability to write clear project plans), proficiency in GSuite, and professional working proficiency in English.
Desired Skills
In-Field Data Collection Experience: Direct, hands-on experience managing or executing data collection out in the field.
Domain & Company Alignment: A genuine interest in and passion
for AI, AI solutions, and Client.
Operational Mindset: A strong passion for building processes from the ground up and achieving operational excellence.
About Us:
Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU.
IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.
Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.
 

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