Remote AI App Security Analyst — Risk & Safe Coding

Alignerr Corp.; 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

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.