Teach AI systems to reason about application risk and security. Analyze realistic security scenarios, classify vulnerabilities, and create security-focused reasoning datasets. 2+ years of experience in application security required.
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Technical Skills Required
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Job Description
Application Security Analyst (AI Training)
About The Role
We're partnering with the world's leading AI research labs to build smarter, more security-aware AI systems — and we need experienced application security professionals to make it happen.
If you've spent time in the trenches identifying vulnerabilities, triaging risk, and guiding teams toward more secure code, this is your opportunity to apply that expertise to something new: teaching AI how to think like a security engineer.
Your real-world knowledge of how software breaks in production will directly shape how frontier AI systems reason about application risk, exploitability, and remediation.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic application security scenarios spanning code, APIs, and system behavior
- Classify and evaluate vulnerabilities including authentication flaws, injection risks, access control issues, and business logic weaknesses
- Assess secure coding practices and the quality of proposed remediation strategies
- Create and validate security-focused reasoning datasets that help AI systems accurately assess and prioritize application risk
- Distinguish genuine exploitability from theoretical or low-impact risk across diverse technical contexts
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- 2+ years of hands-on experience in application security, product security, or software security roles
- Strong familiarity with the OWASP Top 10 and common vulnerabilities found in real production environments
- Able to evaluate risk with nuance — separating critical, exploitable issues from noise
- Clear, structured written communicator who can explain security reasoning concisely
- Self-directed and comfortable working asynchronously on task-based assignments
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- Experience with secure code review, penetration testing, or bug bounty programs
- Familiarity with web frameworks, API security, or cloud-native architectures
- Background in writing security documentation, advisories, or training content
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful contribution to how AI understands and reasons about cybersecurity
- Potential for ongoing work and contract extension
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