Remote Application Security Analyst for AI Training

Alignerr Corp.; Chicago (IL); On-site; USD 83,000 - 138,000; Full time

Benefits offered by this job

Autonomy

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. is seeking an Application Security Analyst (AI Training) for a remote, hourly contract role. You will analyze security scenarios and vulnerabilities across code, APIs, and systems to help AI models learn secure software reasoning.

You will evaluate exploitability, prioritize remediation, and contribute to security-focused data for AI training while working asynchronously and independently.

Qualifications

• 2+ years of hands-on experience in application, product, or software security.
• Familiarity with the OWASP Top 10 and common production vulnerabilities.
• Ability to think critically about real exploitability, beyond textbook definitions.
• Strong written communication with structured security reasoning.
• Self-motivated and able to work independently on asynchronous tasks.

Responsibilities

• Analyze real-world application security scenarios spanning code, APIs, and system behavior.
• Classify and evaluate vulnerabilities including authentication flaws, injection risks, access control issues, and business logic weaknesses.
• Assess the quality of secure coding practices and proposed remediation strategies.
• Build and validate security-focused reasoning datasets that teach AI to think like an experienced security engineer.
• Distinguish genuinely exploitable risks from theoretical edge cases with clear, structured justifications.

Skills

2+ years security

OWASP Top 10 familiarity

Critical thinking

Written communication

Independent work

Tools

Bug bounty programs

Threat modeling

Secure SDLC

Job description

Alignerr Corp. is seeking an Application Security Analyst (AI Training) for a remote, hourly contract role. You will analyze security scenarios and vulnerabilities across code, APIs, and systems to help AI models learn secure software reasoning.

You will evaluate exploitability, prioritize remediation, and contribute to security-focused data for AI training while working asynchronously and independently.