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Internship Online Data Annotation Jobs in California

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

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 ...

Aicadium

Sr. Research Data Scientist

San Diego, CA · On-site

$150 - $210/hr

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

Jobtailor

Senior CV/ML Scientist

San Diego, CA · On-site

$140 - $210/hr

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

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 · On-site

$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

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Internship Online Data Annotation information

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 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 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 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.

Can I work for internship online data annotation with no experience?

Internship online data annotation roles often do not require prior experience, as training is typically provided to help new workers learn annotation tools and standards. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some positions may prefer or require familiarity with specific data types or annotation software.

Does data annotation really pay you?

Data annotation jobs, including online data annotation internships, typically pay hourly or per task rates, with earnings varying based on the platform, complexity of tasks, and experience. While some positions offer competitive pay, others may provide lower wages, and payment is usually processed through online payment systems like PayPal or direct deposit. It is important to verify the payment terms before starting any data annotation work.

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.

Research Associate III - Center for Autonomous Robotic Surgery

Cedars Sinai

West Hollywood, CA

Full-time

Posted 4 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,061 rated hospitals

Job description

Dr. Andrew Hung is seeking an experienced RA III to join his team!

The Research Associate III will provide the clinical expertise necessary to ensure that data used to develop and train automated robotic systems remains clinically relevant, accurate, and grounded in real-world surgical practice. This role will serve as a critical bridge between surgical expertise, research, and machine learning development.

Under general guidance, the Administrative Research Associate III works closely with PI, providing technical and/or administrative support in large or multi-project oriented labs. May be requested by PI to take on specific supervisory activities, and provide administrative leadership, and/or technical expertise. May develop hypothesis and assist in planning steps for the investigative process. Will review and remain current on literature as it relates to clinical/research study. Coordinates all lab and/or clinical activities, including but not limited to, budgetary/financial compliance, preparation of grant proposals, and creating independent presentations. Not responsible for generating grant funds.
Principal Responsibilities:

Provides miscellaneous clinical/research support (ad hoc data analysis, hypothesis development, programming, troubleshooting, etc.).

Organizes clinical/research trials in conjunction with the Principal Investigator and sponsor and/or funding source.

Monitors and ensures compliance with safety standards and procedures.

Analyzes data and prepares scientific findings for publication as author or co-author.

May make independent presentations.

May provide system administration and maintenance for the local workstation network.

Leads and trains Research Lab Assistants, Research Fellow, lower level Research Associates, and other related support staff and may be requested by PI to take on specific supervisory activities.

Orients new Research Fellows and/or Research Scientists to day-to-day lab operations and procedures.

Department Specific Responsibilities: 

 Provide clinical and surgical perspective to guide the collection, interpretation, and use of data for robotic and automated surgical systems.

 Ensure annotations and research outputs accurately reflect surgical anatomy, procedural workflows, techniques, instrumentation, and clinically meaningful events.

Collaborate with engineering, machine learning, robotics, and research teams to translate surgical knowledge into structured datasets and research objectives.

Support the development and validation of annotation standards, workflows, protocols, and quality-control processes.

Mentor students and interns involved in data annotation and research activities, providing guidance and quality oversight.

Contribute to continuous improvement of research processes and methodologies as robotic and machine learning capabilities evolve.

Education:

Bachelor's Degree, Bachelors in Science Related field required 
Work Experience:

3 years of Research laboratory experience required.

2 years of Experience in research specialty preferred.

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