Application Security Analyst

Alignerr; Manchester; Remote; GBP 41,000 - 83,000; Part time

Job summary

Alignerr is seeking an Application Security Analyst (AI Training) to help teach AI how to reason about software risk. This remote, flexible contract role requires hands-on security experience and a passion for evaluating vulnerabilities in code, APIs, and system behavior.

You will create security-focused datasets to train AI models and prioritize risks for remediation. The ideal candidate has 2+ years in application security, a solid grasp of OWASP Top 10, and strong written communications.

Qualifications

• 2+ years of hands-on experience in application, product, or software security
• Solid understanding of the OWASP Top 10 and how vulnerabilities manifest in production environments
• Able to think like an attacker and an engineer — spotting real risk, not just theoretical exposure
• Strong written communication skills with the ability to reason through security problems in a structured way
• Self-directed and comfortable working asynchronously

Responsibilities

• Analyze realistic application security scenarios spanning code, APIs, and system behavior
• Classify and prioritize vulnerabilities including authentication flaws, injection risks, and business logic issues
• Evaluate secure coding practices and assess the quality of proposed remediation strategies
• Build and validate security-focused reasoning datasets that teach AI to accurately assess application risk
• Distinguish genuinely exploitable vulnerabilities from theoretical or low-priority concerns
• Provide clear, structured written analysis that AI systems can learn from

Skills

Application security

OWASP Top 10

Threat modeling

Written communication

Asynchronous work

Job description

Application Security Analyst (AI Training)

About The Role

Your instinct for how software breaks in the real world 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're looking for application security professionals to help teach AI how to think about software risk.

This is a remote, flexible contract role where your hands-on security experience directly shapes how AI understands, assesses, and reasons about application vulnerabilities.

• 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 including authentication flaws, injection risks, and business logic issues
• Evaluate secure coding practices and assess the quality of proposed remediation strategies
• Build and validate security-focused reasoning datasets that teach AI to accurately assess application risk
• Distinguish genuinely exploitable vulnerabilities from theoretical or low-priority concerns
• Provide clear, structured written analysis that AI systems can learn from

Who You Are

• 2+ years of hands-on experience in application, product, or software security
• Solid understanding of the OWASP Top 10 and how vulnerabilities manifest in production environments
• Able to think like an attacker and an engineer — spotting real risk, not just theoretical exposure
• Strong written communication skills with the ability to reason through security problems in a structured way
• Self-directed and comfortable working asynchronously

Nice to Have

• Experience in penetration testing, bug bounty, or secure code review
• Familiarity with security in cloud-native, API-first, or microservices architectures
• Background in DevSecOps or security tooling
• Prior experience contributing to AI, data labeling, or evaluation projects

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — set your own schedule and work from anywhere
• Freelance autonomy with meaningful, intellectually engaging work
• Put your real-world security expertise to use in a high-impact, fast-moving field
• Potential for ongoing work and contract extension as projects grow