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Internship Data Labeling Jobs in California (NOW HIRING)

Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject ... This is an hourly internship position. Your Impact * Support day to day triage and analysis of ...

New

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

A&R Discovery Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

The company operates as a record label, distribution company, and entertainment network which ... Interns must be eligible to work in the U.S. and available for 10-20 hours per week over a 3-4 ...

A&R Discovery Intern

Los Angeles, CA · On-site

$16.25 - $21.50/hr

The company operates as a record label, distribution company, and entertainment network which ... Interns must be eligible to work in the U.S. and available for 10-20 hours per week over a 3-4 ...

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Internship Data Labeling information

What is the difference between Internship Data Labeling vs Data Labeling Specialist?

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What types of tasks can I expect to handle daily as a Data Labeling Intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What are the key skills and qualifications needed to thrive as an Internship Data Labeling specialist, and why are they important?

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Data Labeling jobs in California? The most popular types of Data Labeling jobs in California are:
What job categories do people searching Internship Data Labeling jobs in California look for? The top searched job categories for Internship Data Labeling jobs in California are:
What cities in California are hiring for Internship Data Labeling jobs? Cities in California with the most Internship Data Labeling job openings:
Cyber Security Intern

Cyber Security Intern

Labelbox

San Francisco, CA • On-site

Full-time, Internship

Posted 5 days ago

New


Job description

Shape the Future of AI
At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Labelbox
We're the only company offering three integrated solutions for frontier AI development:
  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling
Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview
As a Security Engineering Intern at Labelbox, you will work closely with our security team to strengthen and scale our enterprise security program. You will receive direct mentorship while gaining hands-on experience across cloud security, application security, SecOps, and compliance workflows. Your work will help improve the security posture of our infrastructure, services, and internal tooling. This is an hourly internship position.
Your Impact
  • Support day to day triage and analysis of incoming security issues, including operating our Vulnerability Management program.
  • Contribute to improving access workflows in our identity and access management systems.
  • Audit and refine access controls for core data platforms and cloud resources.
  • Assist in strengthening CI/CD security by integrating automated checks that enforce secure development practices early in the lifecycle.
  • Help operate and optimize our Security Information and Event Management (SIEM) platform by tuning alerts, improving log ingestion, and building lightweight automations.
  • Participate in major internal security initiatives, such as supporting a Cybersecurity Tabletop Exercise and documenting findings.
  • Research and evaluate enhancements to our security tool stack and contribute to related internal documentation and optimization efforts.
What You Bring
We are looking for a highly motivated and curious individual with a strong interest in the challenges of modern security engineering.
  • Currently pursuing a Bachelor's or Master's degree in Cybersecurity, Computer Science, Information Technology, or a related field.
  • A demonstrated interest in cloud security, data security, and security operations.
  • High degree of ownership, initiative, and willingness to dive into complex technical problems.
  • Basic understanding of cloud platforms such as GCP, AWS, or Azure, as well as foundational database concepts including SQL or data warehousing.
  • Demonstrated ability to integrate modern AI tools and local LLM agents (such as Cursor or Claude Code) into your workflow to increase efficiency and solve technical problems faster.
  • Strong analytical, organizational, and time management skills.
  • Excellent written and verbal communication abilities, including clear documentation of technical findings.
  • Curiosity, eagerness to learn, and a desire to grow through mentorship across diverse areas of security engineering.
Security Engineering at Labelbox
Our Security Engineering team partners closely with engineering and infrastructure teams to ensure we deliver secure, reliable, and trusted systems for our customers. We focus on building scalable security controls, driving secure development practices, and continually evolving our detection, response, and risk management capabilities. Interns on our team gain exposure to real world security challenges while contributing directly to initiatives that support Labelbox's growth and security maturity.
See our recent Blog about security at Labelbox: https://labelbox.com/blog/engineering-trust-in-an-autonomous-world/
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
Annual base salary range
$40-$55 USD
Life at Labelbox
  • Location: Join our dedicated tech hub in San Francisco
  • Work Style: Hybrid model with 3 days per week in office, combining collaboration and flexibility
  • Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making
  • Growth: Career advancement opportunities directly tied to your impact
  • Vision: Be part of building the foundation for humanity's most transformative technology
Our Vision
We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox's Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.