Remote AppSec Analyst for AI Security & Risk (Contract)

Alignerr Corp.; United States; Remote; MXN 1,279,000 - 2,303,000; Full time

Benefits offered by this job

Freelance autonomy

Job summary

Alignerr Corp. is seeking an experienced Application Security Analyst (AI Training) for a remote, contract role. You will analyze security scenarios across code, APIs, and systems, identify vulnerabilities, and prioritize remediation strategies while building security-focused datasets to train AI models.

You will work independently, asynchronously, and set your own schedule, with 10–40 hours per week, focusing on practical risk assessment and secure coding practices for cutting-edge AI systems.

Qualifications

• 2+ years of experience in application security, product security, or software security roles.
• Strong knowledge of the OWASP Top 10 and common production vulnerabilities.
• Ability to assess real-world exploitability — not just theoretical risk.
• Clear, structured written communication when explaining security findings and reasoning.
• Comfortable working independently and asynchronously on task-based assignments.

Responsibilities

• Analyze realistic application security scenarios across code, APIs, and system behavior.
• Identify and classify vulnerabilities including authentication flaws, injection risks, access control issues, and business logic bugs.
• Evaluate secure coding practices and assess the quality of remediation strategies.
• Build and validate security-focused reasoning datasets that teach AI to accurately assess application risk.
• Apply your real-world instincts to distinguish genuinely exploitable issues from noise.

Skills

Application security

OWASP Top 10

Exploitability assessment

Technical writing

Independent work

Job description

Alignerr Corp. is seeking an experienced Application Security Analyst (AI Training) for a remote, contract role. You will analyze security scenarios across code, APIs, and systems, identify vulnerabilities, and prioritize remediation strategies while building security-focused datasets to train AI models.

You will work independently, asynchronously, and set your own schedule, with 10–40 hours per week, focusing on practical risk assessment and secure coding practices for cutting-edge AI systems.