Application Security Analyst

Alignerr Corp.

Montreal

Remote

CAD 55,000 - 96,000

Part time

31 hours ago
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Benefits offered by this job

Fully remote work
Freelance contract
Flexible hours

Job summary

Alignerr is seeking an Applications Security Analyst for AI training initiatives. You will analyze real vulnerabilities across code, APIs, and systems and help teach AI how to reason about software risk. This role is remote and on an hourly contract.

You should have 2+ years in app security, knowledge of OWASP Top 10, and strong written communication. Work asynchronously 10-40 hours per week on meaningful security challenges alongside top researchers.

Qualifications

  • 2+ years of experience in application security, product security, or software security roles.
  • Solid understanding of the OWASP Top 10 and common vulnerabilities found in production environments.
  • Able to think like an attacker and communicate findings clearly.
  • Strong written communication skills and ability to work asynchronously on task-based assignments.

Responsibilities

  • Analyze realistic application security scenarios spanning code, APIs, and system behavior.
  • Classify and prioritize vulnerabilities — authentication flaws, injection risks, business logic issues, and more.
  • Evaluate secure coding practices and assess remediation strategies.
  • Distinguish genuinely exploitable vulnerabilities from theoretical or low-impact risks.
  • Help create and validate security-focused datasets that train AI to assess application risk accurately.
  • Provide structured, written feedback that helps AI systems develop sharp, practical security judgment.

Skills

Application security
OWASP Top 10
Threat analysis
Written communication
Self-directed work

Job description

Application Security Analyst (AI Training)
About The Role

Your experience finding and fixing real vulnerabilities is exactly what the next generation of AI needs. At Alignerr, we partner with leading AI research labs to build smarter, safer AI systems - and we need application security professionals who understand how software actually breaks in production.

This is your opportunity to put your AppSec expertise to work on something bigger: teaching AI how to reason about software risk, spot exploitable flaws, and recommend real remediation strategies.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Analyze realistic application security scenarios spanning code, APIs, and system behavior
  • Classify and prioritize vulnerabilities - authentication flaws, injection risks, business logic issues, and more
  • Evaluate secure coding practices and assess the quality of proposed remediation strategies
  • Distinguish genuinely exploitable vulnerabilities from theoretical or low-impact risks
  • Help create and validate security-focused reasoning datasets that train AI to assess application risk accurately
  • Provide structured, written feedback that helps AI systems develop sharp, practical security judgment
Who You Are
  • 2+ years of experience in application security, product security, or software security roles
  • Solid understanding of the OWASP Top 10 and common vulnerabilities found in production environments
  • Able to think like an attacker - and communicate findings like a trusted advisor
  • Strong written communication skills with the ability to explain complex security reasoning clearly
  • Self-directed and comfortable working asynchronously on task-based assignments
Nice to Have
  • Experience with bug bounty programs, penetration testing, or security code review
  • Familiarity with secure development lifecycle (SDLC) practices
  • Background in cloud-native or API security
  • Prior experience contributing to AI training or data annotation projects
Why Join Us
  • Work directly on frontier AI systems alongside top research teams
  • Fully remote and flexible - work on your own schedule, on your own terms
  • Freelance perks: autonomy, variety, and global collaboration
  • Make a lasting impact on how AI understands and reasons about cybersecurity
  • Potential for ongoing work and contract extension
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