Vulnerability Management Analyst

Vulnerability Management Analyst (AI Training)

About The Role

We're looking for experienced security practitioners to help train and evaluate frontier AI systems using real-world vulnerability management scenarios. At Alignerr, we partner with the world's leading AI research labs — and your hands-on expertise in CVEs, exposure management, and remediation is exactly what's needed to make AI smarter about cybersecurity.

This is a unique opportunity to apply your security knowledge in a new and impactful direction, working flexibly on your own schedule.

• 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, business 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 what actually matters in production environments — not just theoretical risk

Who You Are

• 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
• Understands the real-world tradeoffs between theoretical severity and operational risk
• Analytical and structured thinker who can communicate complex security reasoning clearly
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7)
• Background in cloud security, application security, or threat intelligence
• Familiarity with AI evaluation or data labeling workflows

Why Join Us

• Work directly on frontier AI systems with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI reasons about real-world cybersecurity
• Potential for ongoing work and contract extension