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:
Why Join Us
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
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.