---
title: 'Cyber Security Intern at Labelbox'
canonical: 'https://feeny.ai/job/cyber-security-intern-labelbox-san-francisco-81atck2vj8rq'
type: 'job'
last_seen: '2026-09-07'
---

# Cyber Security Intern at Labelbox

- **Company:** Labelbox
- **Location:** San Francisco, CA
- **Compensation:** $40–$55/hr
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/labelbox/jobs/5177341007

## 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:

- Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
- Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models
- 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

- 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](https://docs.labelbox.com/page/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.

## About Labelbox

## Company Overview
- **One-liner**: Labelbox builds the data engine for frontier AI, producing environments, expert signals, and platforms that leading AI labs and enterprises use to train, evaluate, and deploy reinforcement learning (RL) models.
- **Entity Type**: Private (Funding stage: $189M total funding to date)
- **Headquarters**: San Francisco, California, USA (Mission District)
- **Founded**: 2018
- **Founders**: Manu Sharma (CEO) – other co-founders not publicly named in available sources.

## Core Business
- **Primary industry**: Artificial Intelligence – data infrastructure for RL and frontier model training.
- **Target customers**: B2B – frontier AI labs (partnering with over 90% of leading U.S. AI labs) and enterprise teams building specialist AI agents.
- **Mission**: "Turn human knowledge into compounding intelligence, making the learning loop the foundation of an AI team’s competitive advantage."

## Products & Services
- **Recursion** – RL platform for enterprise specialist models. Integrates enterprise APIs, SaaS tools, databases into simulation environments; enables scenario generation, RL training, evaluation, and deployment.
- **Horizon** – RL environments and evaluations for post-training, covering reasoning, tool use, and computer use across autonomous AI research, agent coding, scientific knowledge work, and cybersecurity.
- **Alignerr** – Expert network of 2.6M+ knowledge contributors across 200+ domains, providing human preference signals and reward data for frontier models.
- **Terra** – Full-stack data products for robotics foundation models (video, trajectories, multimodal annotations) collected with purpose-built hardware and AI-powered diversity engines.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: $189M in total funding to date (as of mid-2026).
- **Notable Investors/Partners**: Not explicitly listed in available sources; partners include "over 90% of leading AI labs in the U.S." and Meta (case study on GIM benchmark).
- **Growth Signals**:  
  - 2.6M+ Alignerr network across 40+ countries.  
  - Published a benchmark with Meta (GIM-615) for evaluating frontier AI reasoning.  
  - Growing headcount: 13 open roles listed on Greenhouse (Applied Research, Engineering, Alignerr Services, Sales).  
  - Expanding from annotation into full RL data engine (Recursion, Horizon, Terra).

## Competitive Advantages
- **Unique data engine for RL**: Combines expert human signals (Alignerr) with simulated environments (Recursion, Horizon) and robotics data (Terra) – a full stack for reinforcement learning that few competitors offer.
- **Deep partnerships**: Collaborates with leading U.S. AI labs, providing a strong network effect.
- **Proven research output**: Co-developed the GIM benchmark with Meta, demonstrating credibility in frontier evaluation.
- **Enterprise focus**: Helps companies turn proprietary workflows into training data for specialist models that outperform general LLMs on narrow tasks at lower cost.

## Strategic Focus
- Doubling down on reinforcement learning data infrastructure: building environments, reward signals, and evaluation tools for post-training and agentic AI.
- Scaling the Alignerr expert network to cover more domains and languages.
- Expanding enterprise adoption of Recursion to convert proprietary workflows into production-grade specialist models.

## Why Work Here
- **Culture**: "Operate like an early-stage startup, even at our current stage." Fast-paced, high-intensity, high individual ownership, impact over process.
- **Location**: HQ in San Francisco’s Mission District – "heart of the AI boom."
- **Remote/Hybrid**: Roles listed as "San Francisco Bay Area" – likely office-first with some flexibility (not explicitly stated as remote).
- **Perks**: Unlimited PTO, $150/month WFH stipend, $1k annual education stipend, annual travel stipend, paid family leave, medical/dental/vision, HSA/FSA, 401(k) management, employee-paid life & disability.
- **Growth**: "Take on expanded responsibilities quickly; career growth tied to impact." Opportunity to work at the cutting edge of AI development with industry leaders.
- **Engineering culture**: Emphasis on technical excellence, rapid execution, and solving complex problems in frontier AI.

## Sources
1. [labelbox.com](https://labelbox.com/) – Company homepage, product descriptions, partnership stats.
2. [labelbox.com/company/about/](https://labelbox.com/company/about/) – About page, mission, funding, team, perks.
3. [labelbox.com/company/careers/](https://labelbox.com/company/careers/) – Careers page, work environment, benefits, values.
4. [job-boards.greenhouse.io/labelbox](http://job-boards.greenhouse.io/labelbox) – Current open roles and locations.

## Other roles at Labelbox

- [Accounts Payable, Spend Management Coordinator](https://feeny.ai/job/accounts-payable-spend-management-coordinator-labelbox-india-6ev3gkwk5nsb) — India
- [Global Specialized Domain Expert Recruiter (Contractor)](https://feeny.ai/job/global-specialized-domain-expert-recruiter-contractor-labelbox-united-states-cggdd2bjm5x0) — United States
- [Staff ML Engineer, Agent Training & Environments](https://feeny.ai/job/staff-ml-engineer-agent-training-environments-labelbox-san-francisco-61fyf5x8bnnw) — San Francisco, CA
- [Targeted Recruiting & Onboarding Specialist (Contractor)](https://feeny.ai/job/targeted-recruiting-onboarding-specialist-contractor-labelbox-india-p380f0dmy14b) — India
- [Staff Software Engineer, AI Data Platform](https://feeny.ai/job/staff-software-engineer-ai-data-platform-labelbox-san-francisco-6tgah5atnmsm) — San Francisco, CA
- [Deployment Lead](https://feeny.ai/job/deployment-lead-labelbox-san-francisco-na902x0e4rs1) — San Francisco, CA
- [Forward Deployed Engineering Manager](https://feeny.ai/job/forward-deployed-engineering-manager-labelbox-san-francisco-pxxp75hvtt47) — San Francisco, CA
- [Forward Deployed Research Scientist](https://feeny.ai/job/forward-deployed-research-scientist-labelbox-san-francisco-x2c58bs8fmmm) — San Francisco, CA
- [Forward Deployed Engineer, RL Environments](https://feeny.ai/job/forward-deployed-engineer-rl-environments-labelbox-san-francisco-s4zt23ad43kc) — San Francisco, CA