Application Security Analyst

Alignerr; Seattle (WA); Remote; USD 83,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking an Application Security Analyst (AI Training) to work on security-focused AI data and model training.

You will analyze real-world security scenarios, identify and prioritize vulnerabilities, and validate secure coding practices within production-like environments. The role emphasizes practical hands-on security work, collaboration with AI teams, and independent, task-based contributions.

Qualifications

• 2+ years of experience in application security, product security, or software security roles.
• Strong familiarity with the OWASP Top 10 and common production vulnerabilities.
• Able to think like an attacker — you understand real exploitability, not just CVE scores.
• Clear, structured written communicator who can explain security reasoning concisely.
• Self-directed and comfortable working independently on task-based assignments.

Responsibilities

• Analyze real-world application security scenarios spanning code, APIs, and system behavior.
• Classify and prioritize vulnerabilities including authentication flaws, injection risks, and business logic weaknesses.
• Evaluate the quality and correctness of secure coding practices and remediation strategies.
• Create and validate security-focused reasoning datasets that teach AI how to accurately assess application risk.
• Apply judgment to distinguish genuinely exploitable issues from low-signal theoretical risks.

Skills

Vulnerability assessment

Threat modeling

Secure coding

Security testing

OWASP Top 10

Exploitability analysis

Security auditing

Clear communication

Tools

SAST/DAST tooling

Job description

Application Security Analyst (AI Training)

About The Role We’re partnering with the world’s leading AI research labs to build smarter, safer AI systems — and we need security professionals who understand how software actually breaks in the real world.

As an Application Security Analyst, you’ll work with realistic security scenarios to help frontier AI models learn how to assess, prioritize, and remediate application risk. Your expertise in identifying exploitable vulnerabilities — not just theoretical ones — will directly shape how AI reasons about software security.

If you’ve spent time hunting bugs, reviewing code for security flaws, or triaging vulnerabilities in production systems, this is a rare opportunity to put that knowledge to work on some of the most impactful AI projects being built today.

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

What You’ll Do

• Analyze real-world application security scenarios spanning code, APIs, and system behavior
• Classify and prioritize vulnerabilities including authentication flaws, injection risks, and business logic weaknesses
• Evaluate the quality and correctness of secure coding practices and remediation strategies
• Create and validate security-focused reasoning datasets that teach AI how to accurately assess application risk
• Apply your judgment to distinguish genuinely exploitable issues from low-signal theoretical risks

Who You Are

• 2+ years of experience in application security, product security, or software security roles
• Strong familiarity with the OWASP Top 10 and common production vulnerabilities
• Able to think like an attacker — you understand real exploitability, not just CVE scores
• Clear, structured written communicator who can explain security reasoning concisely
• Self-directed and comfortable working independently on task-based assignments

Nice to Have

• Experience with bug bounty programs, penetration testing, or secure code review
• Familiarity with SAST/DAST tooling or security-focused development workflows
• Background in web, mobile, or API security
• Prior experience contributing to AI training, annotation, or evaluation projects

Why Join Us

• Work directly on frontier AI systems alongside top research teams
• Fully remote and asynchronous — work on your own schedule
• Freelance perks: autonomy, flexibility, and global collaboration
• Make a meaningful contribution to how AI understands and reasons about cybersecurity
• Potential for ongoing work and contract extension