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Data Annotation Intern Jobs in Berkeley, CA (NOW HIRING)

Labelbox

Cyber Security Intern

San Francisco, CA · On-site

Advanced annotation tools, workflow automation, and quality control systems that enable teams to ... Frontier Data Labeling Service : Specialized data labeling through Alignerr, leveraging subject ...

Avala AI, Inc

Product Designer

San Francisco, CA · On-site

Unlike traditional crowdsourcing or data annotation, Avala dynamically orchestrates digital ... If an intern has the best idea you will take it and implement it. If you are wrong in an assumption ...

All JobsData Annotation Intern JobsData Annotation Intern Jobs in Berkeley, CA

Data Annotation Intern information

See Berkeley, CA salary details

$14

$27

$51

How much do data annotation intern jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data annotation intern in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Intern vs Data Labeling Specialist?

AspectData Annotation InternData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant experience or certifications in data labeling
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation projects
Industry UsageCommon in tech, AI, and machine learning industriesUsed across similar industries for data preparation
Job FocusLearning and assisting with data annotation tasksPerforming detailed data labeling and quality control

While both roles involve working with data annotation, a Data Annotation Intern is typically a beginner or student gaining experience, whereas a Data Labeling Specialist is a more experienced professional focused on precise data labeling tasks. Interns often work under supervision, while specialists handle independent projects.

What is a data annotation intern?

A data annotation intern is a temporary position where individuals label or categorize data, such as images, text, or videos, to help train machine learning models. The role typically involves using annotation tools and requires attention to detail to ensure data accuracy and quality.

Is data annotation real or fake?

Data annotation is a legitimate job role involving labeling data such as images, text, or videos to train machine learning models. It requires attention to detail and often involves using specialized tools; the work is real and essential for AI development.

Does data annotation actually pay?

Data annotation internships and entry-level roles typically offer compensation, with pay rates varying based on the company, location, and experience. Many companies pay hourly or project-based wages, and some may provide stipends or bonuses for completing annotation tasks using tools like labeling software. It is common for data annotation jobs to be paid positions, especially when performed on a regular or full-time basis.

Is it hard to get hired for data annotation?

Getting hired as a data annotation intern generally depends on the company's requirements, but the process is often straightforward with basic computer skills and attention to detail. Many positions are entry-level and do not require extensive experience or certifications, making them accessible to beginners. However, strong accuracy and familiarity with annotation tools can improve chances of selection.

What are some common challenges faced by Data Annotation Interns and how can they be overcome?

Data Annotation Interns often encounter challenges such as maintaining consistency and accuracy when labeling large volumes of data, especially when guidelines evolve or when dealing with ambiguous cases. To overcome these challenges, it's important to frequently review annotation guidelines, communicate proactively with supervisors or team members for clarification, and participate in regular quality checks. Collaborating with experienced annotators and leveraging feedback provided during peer reviews can also help interns improve their accuracy and efficiency.

What are Data Annotation Interns?

Data Annotation Interns are entry-level professionals who assist in labeling and categorizing data, such as images, audio, or text, to help train machine learning models. Their work is crucial for ensuring that AI systems can accurately interpret and process various types of data. Interns typically use specialized software tools to annotate data according to specific guidelines, and they may also help with data quality checks. This position is ideal for those interested in gaining experience in artificial intelligence, data science, or related fields.

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

To thrive as a Data Annotation Intern, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a background in computer science or related fields. Familiarity with annotation tools like Labelbox, Supervisely, or CVAT and understanding of data formats such as JSON or XML are typically required. Effective communication, time management, and the ability to follow complex guidelines are important soft skills for this role. These skills ensure high-quality, consistent data labeling, which is crucial for training accurate machine learning models.
What are the most commonly searched types of Data Annotation jobs in Berkeley, CA? The most popular types of Data Annotation jobs in Berkeley, CA are:
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What job categories do people searching Data Annotation Intern jobs in Berkeley, CA look for? The top searched job categories for Data Annotation Intern jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Data Annotation Intern jobs? Cities near Berkeley, CA with the most Data Annotation Intern job openings:
Data Annotation Intern jobs near you
Infographic showing various Data Annotation Intern job openings in Berkeley, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,315 per year, or $27.6 per hour.
Cyber Security Intern

Cyber Security Intern

Labelbox

San Francisco, CA • On-site

Full-time, Internship

Posted 8 days ago

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.

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