Vulnerability Management Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research labs to build smarter, more security-aware AI systems — and we need practitioners who know how vulnerability management actually works in the real world.

This isn't a theoretical exercise. You'll work with realistic CVE data, exposure scenarios, and remediation workflows to help evaluate and improve how AI reasons about cybersecurity risk. Your field experience is exactly what's needed to make AI systems more accurate, trustworthy, and useful for security teams everywhere.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications
Classify severity, impact, exploitability, and recommend remediation strategies
Review and evaluate AI-generated reasoning on patching, mitigation, and risk prioritization decisions
Generate, label, and validate realistic security scenarios used to train and benchmark AI systems




Apply your practical knowledge to help AI distinguish between theoretical risk and what actually matters in production

Who You Are

2+ years of experience in vulnerability management, security operations, or infrastructure security
Solid working knowledge of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
You understand the real-world tradeoffs between textbook severity scores and operational risk
Analytical and structured thinker who can clearly articulate security reasoning
Comfortable working independently in a remote, async environment

Nice to Have

Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
Familiarity with frameworks such as CVSS, EPSS, or MITRE ATT&CK;
Background in cloud security, patch management, or SecOps
Prior experience with AI evaluation or data labeling workflows

Why Join Us

Work directly on frontier AI systems alongsi

📌 Vulnerability Management Analyst (Madrid)
🏢 Alignerr
📍 Madrid