Application Security Analyst

Alignerr Corp.

Boston (MA)

Remote

USD 55,000 - 124,000

Part time

6 days ago
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Job summary

Alignerr Corp. in the United States is seeking an Application Security Analyst (AI Training) for a remote, hourly contract. You will review security scenarios, analyze code, APIs, and system behavior to help train next-generation AI models on real-world risk.

Ideal candidates have 2+ years in app security, familiarity with the OWASP Top 10, and an ability to judge exploitability. You should communicate complex security reasoning in clear written form and work independently in async environments.

Qualifications

  • 2+ years of hands-on experience in application, product, or software security.
  • Solid familiarity with the OWASP Top 10 and common vulnerabilities in production.
  • Ability to assess true exploitability rather than theory.
  • Strong written communication to clearly explain security reasoning.
  • Comfort working independently in an asynchronous environment.

Responsibilities

  • Review and analyze realistic application security scenarios across code, APIs, and system behavior.
  • Classify vulnerabilities including authentication flaws, injection risks, access control issues, and business logic weaknesses.
  • Evaluate secure coding practices and the quality of proposed remediation strategies.
  • Distinguish between genuinely exploitable risks and theoretical edge cases.
  • Build and validate security-focused datasets that train AI to assess application risk.
  • Provide clear, structured written analyses translating expert judgment into training signals.

Skills

Application security
OWASP Top 10
Exploitability assessment
Written communication
Async work

Tools

Secure code review
Penetration testing
Bug bounty programs
Red teaming
AI systems familiarity
Multiple programming languages

Job description

Application Security Analyst (AI Training)
About The Role

Your instinct for how software actually breaks in production is exactly what the next generation of AI needs. At Alignerr, we partner with the world's leading AI research labs to build frontier AI models — and we're looking for experienced application security professionals to help teach AI how to think about real-world risk.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Review and analyze realistic application security scenarios across code, APIs, and system behavior
  • Classify vulnerabilities including authentication flaws, injection risks, access control issues, and business logic weaknesses
  • Evaluate secure coding practices and the quality of proposed remediation strategies
  • Distinguish between genuinely exploitable risks and theoretical edge cases
  • Build and validate security-focused reasoning datasets that train AI to assess application risk accurately
  • Provide clear, structured written analysis that translates expert judgment into usable training signal
Who You Are
  • 2+ years of hands-on experience in application, product, or software security
  • Solid familiarity with the OWASP Top 10 and how common vulnerabilities manifest in real production systems
  • Able to assess true exploitability rather than just flag theoretical risks
  • Strong written communication skills — you can explain complex security reasoning clearly and concisely
  • Self-motivated and comfortable working independently in an async environment
Nice to Have
  • Experience with secure code review or penetration testing
  • Background in bug bounty programs or red teaming
  • Familiarity with AI systems or data labeling workflows
  • Knowledge of multiple programming languages or tech stacks
Why Join Us
  • Work directly on frontier AI systems used by leading research labs
  • Fully remote and flexible — work on your schedule, from anywhere
  • Freelance autonomy: choose your hours, manage your own workflow
  • Contribute to meaningful work that makes AI safer and more security-aware
  • Potential for ongoing work and contract extension as new projects launch
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