Vulnerability Management Analyst

About the Role

We're looking for experienced vulnerability management and security operations professionals to help evaluate and improve AI systems trained on cybersecurity content. Your real-world expertise in how security teams discover, prioritize, and remediate risk will directly shape how AI understands and reasons about vulnerabilities — making a meaningful impact on the future of security-aware AI.

Organization

Alignerr

Type

Hourly Contract

Location

Remote

Commitment

10–40 hours/week

What You'll Do

• Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
• Classify severity, exploitability, impact, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and risk prioritization decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
• Apply your practical knowledge of how production security teams actually operate to ensure AI outputs reflect real-world judgment

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
• Able to articulate the difference between theoretical risk and what actually matters in a live environment
• A structured, analytical thinker who communicates clearly in writing
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with tools like Qualys, Tenable, Rapid7, or similar scanners
• Familiarity with CVSS scoring, EPSS, or exposure management platforms
• Background in threat intelligence or red/blue team operations
• Prior experience contributing to AI training, data labeling, or security research

Why Join Us

• Work directly on frontier AI systems built with the world's leading AI research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI understands real-world cybersecurity
• Potential for ongoing work and contract extension