We're partnering with leading AI research labs to build AI systems that truly understand software security — not just textbook definitions, but how vulnerabilities actually emerge, get exploited, and get fixed in production environments.
If you know what it takes to break and secure real applications, this is your chance to put that knowledge to work on some of the most advanced AI models being built today.
Analyze realistic application security scenarios spanning code, APIs, and live system behavior
Classify and evaluate vulnerabilities including authentication flaws, injection risks, business logic issues, and more
Assess secure coding practices and remediation strategies for accuracy and real-world applicability
Help build and validate security-focused reasoning datasets that teach AI how to think like a seasoned AppSec professional
Distinguish genuinely exploitable risks from theoretical noise — and explain your reasoning clearly
Who You Are
2+ years of hands-on experience in application, product, or software security
Solid familiarity with the OWASP Top 10 and common production vulnerability patterns
Ability to think like an attacker and a defender — and articulate the difference
Solid written communication skills with a structured, analytical approach
Comfortable working independently and asynchronously on task-based assignments
Nice to Have
Experience with penetration testing, secure code review, or bug bounty programs
Familiarity with threat modeling frameworks
Background in DevSecOps or security engineering
Why Join Us
Work directly on frontier AI systems alongside top research teams
Fully remote and flexible — work on your schedule, your terms
Freelance autonomy with meaningful, intellectually stimulating work
Your expertise shapes how the next generation of AI understands cybersecu