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Internship Online Data Annotation Jobs in California

Aicadium

Sr. Research Data Scientist

San Diego, CA

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... Publications at top-tier venues, open-source contributions, research internships, or substantial ...

AIcadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150K - $180K/yr

Own the full data lifecycle for visual tasks: dataset curation, annotation strategy, augmentation ... Publications at top-tier venues, open-source contributions, research internships, or substantial ...

Apply

Senior Product Manager, Coding

San Francisco, CA · On-site

$180 - $240/hr

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

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation

The Pennsylvania State University

... data for citizen science projects and fostering sustainable initiatives at the center. Successful ... If you are unable to use our online application process due to an impairment or disability, please ...

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Internship Online Data Annotation information

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?

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 is an internship online data annotation?

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 internship online data annotation?

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 are the most commonly searched types of Online Data Annotation jobs in California?

The most popular types of Online Data Annotation jobs in California are:

What are popular job titles related to Internship Online Data Annotation jobs in California?

For Internship Online Data Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Online Data Annotation jobs in California look for?

The top searched job categories for Internship Online Data Annotation jobs in California are:

What cities in California are hiring for Internship Online Data Annotation jobs?

Cities in California with the most Internship Online Data Annotation job openings:

Internship Online Data Annotation jobs near you
Infographic showing various Internship Online Data Annotation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Operations Specialist

IntelliPro Group Inc.

San Francisco, CA • On-site

Contractor

Re-posted 4 days ago

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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