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Labelbox Jobs (NOW HIRING)

Labelbox

Cyber Security Intern

San Francisco, CA · On-site

About Labelbox We're the only company offering three integrated solutions for frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality ...

Labelbox

Cyber Security Intern

San Francisco, CA

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 ...

Neura Market

$170 - $240/hr

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 ...

New

Labelbox

Deployment Lead

San Francisco, CA · On-site

About Labelbox We're the only company offering three integrated solutions for frontier AI development: * Enterprise Platform & Tools : Advanced annotation tools, workflow automation, and quality ...

Jobs for Humanity

Speakers/Writers

Bend, OR

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Moreno Valley, CA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Cambridge, MA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Cary, NC

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Allentown, PA

$15 - $60/hr

Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to ...

Jobs for Humanity

Speakers/Writers

Rockford, IL

$15 - $60/hr

Labelbox is the leadingdata-centric AI platform for building intelligent applications.Teams looking to capitalize on the latest advances in generative AIand LLMs use the Labelbox platform to inject ...

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How much do labelbox jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for labelbox in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What are some common challenges faced when working in a data labeling role using Labelbox?

One of the main challenges in a data labeling role using Labelbox is maintaining consistency and accuracy across large datasets, especially when dealing with complex or ambiguous data. Adhering to specific labeling guidelines and quality standards can require ongoing focus and attention to detail, and occasionally you may need to collaborate with data scientists or machine learning engineers to clarify requirements. Staying organized while meeting tight project deadlines is also common, particularly when supporting fast-paced AI development cycles. However, these challenges present valuable opportunities to build technical expertise, contribute significantly to impactful AI projects, and advance your career in the rapidly growing field of machine learning operations.

What is a Labelbox?

A Labelbox job is a task or project within the Labelbox platform that involves annotating, labeling, or reviewing data for machine learning models. Companies use Labelbox to manage large-scale data labeling efforts for images, videos, text, and more. Jobs can be assigned to annotators who apply labels according to predefined guidelines. These labels help train AI models by providing high-quality training data.

What are the key skills and qualifications needed to thrive in a Labelbox role?

To thrive in a Labelbox role, such as a Data Annotation Specialist or Machine Learning Data Operations, you need a keen attention to detail, basic data management skills, and a foundational understanding of labeling processes for AI datasets. Familiarity with cloud-based annotation platforms like Labelbox, as well as experience with tools such as Excel or basic image and text editing software, is highly valuable. Strong communication, adaptability, and time management skills are important for effectively handling labeling tasks within cross-functional teams. These capabilities are essential for ensuring high-quality, accurate data labeling that supports effective machine learning model development.

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What are the most commonly searched types of Labelbox jobs?

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What states have the most Labelbox jobs?

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Labelbox jobs near you
Infographic showing various Labelbox job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 68% Full Time, 6% Part Time, and 24% Contract. Highlights an 86% Physical, and 14% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Cyber Security Intern

Labelbox

San Francisco, CA • On-site

Full-time, Internship

Re-posted 9 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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