Application Security Analyst (AI Training)

Alignerr Germany
Remote
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AI Summary

Contribute to AI security awareness and safety by analyzing real-world application security scenarios, classifying vulnerabilities, and building security-focused reasoning datasets. 2+ years of experience in application, product, or software security required. Strong instinct for separating real-world risk from theoretical noise.

Key Highlights
Analyze real-world application security scenarios
Classify and assess vulnerabilities
Build and validate security-focused reasoning datasets
Key Responsibilities
Analyze real-world application security scenarios across code, APIs, and system behavior
Classify and assess vulnerabilities including authentication flaws, injection risks, and business logic issues
Evaluate secure coding practices and critique remediation approaches
Technical Skills Required
OWASP Top 10 Common production vulnerabilities Secure coding practices
Benefits & Perks
Fully remote and flexible work
Freelance perks: autonomy, variety, and global collaboration
Potential for ongoing work and contract extension
Nice to Have
Experience with threat modeling, penetration testing, or secure code review
Background in bug bounty programs or vulnerability disclosure
Familiarity with AI or data annotation workflows

Job Description


Application Security Analyst (AI Training)

About The Role

What if your security instincts could help train the next generation of AI? At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI systems — and we need experienced application security professionals to make it happen.

You'll work with realistic, production-grade security scenarios to help AI learn how to think like a seasoned AppSec engineer: identifying real vulnerabilities, assessing exploitability, and reasoning through remediation strategies.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Analyze real-world application security scenarios across code, APIs, and system behavior
  • Classify and assess vulnerabilities including authentication flaws, injection risks, and business logic issues
  • Evaluate secure coding practices and critique remediation approaches
  • Build and validate security-focused reasoning datasets that teach AI to accurately assess application risk
  • Help AI systems distinguish genuine exploitability from theoretical risk

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 vulnerabilities
  • Strong instinct for separating real-world risk from theoretical noise
  • Clear, structured written communication — you can explain complex security reasoning simply
  • Self-directed and comfortable working asynchronously

Nice to Have

  • Experience with threat modeling, penetration testing, or secure code review
  • Background in bug bounty programs or vulnerability disclosure
  • Familiarity with AI or data annotation workflows

Why Join Us

  • Work directly on frontier AI systems alongside world-class research teams
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that makes AI security-aware and safer for everyone
  • Potential for ongoing work and contract extension

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