Application Security Analyst

Summary

Alignerr is partnering with leading AI research teams to build smarter, safer AI systems, and they are seeking an Application Security Analyst. In this role, you will work with realistic security scenarios to help AI models assess and prioritize application risk, leveraging your hands-on experience with production vulnerabilities.

Responsibilities

• Review and analyze real-world application security scenarios across code, APIs, and system behavior
• Classify vulnerabilities including authentication flaws, injection risks, and business logic issues
• Evaluate secure coding practices and assess the quality of remediation strategies
• Create and validate security-focused reasoning datasets that teach AI how to accurately assess application risk
• Distinguish genuine exploitability from theoretical risk across a range of scenarios

Skills

• 2+ years of hands-on experience in application, product, or software security
• Solid familiarity with the OWASP Top 10 and common production vulnerabilities
• Able to think like an attacker and articulate risk clearly and precisely
• Strong written communication skills with the ability to structure security reasoning for a technical audience
• Self-directed and comfortable working independently on task-based assignments
• Experience with penetration testing, threat modeling, or secure code review
• Background in bug bounty programs or red teaming
• Familiarity with AI or machine learning evaluation workflows

Qualifications

Must Haves

• 2+ years of hands-on experience in application, product, or software security
• Solid familiarity with the OWASP Top 10 and common production vulnerabilities
• Able to think like an attacker and articulate risk clearly and precisely
• Strong written communication skills with the ability to structure security reasoning for a technical audience
• Self-directed and comfortable working independently on task-based assignments

Nice to Haves

• Experience with penetration testing, threat modeling, or secure code review
• Background in bug bounty programs or red teaming
• Familiarity with AI or machine learning evaluation workflows

Benefits

• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact on how AI understands and reasons about cybersecurity
• Potential for ongoing work and contract extension