Job Description

Vulnerability Management Analyst (AI Training)

About The Role

We're partnering with world-leading AI research labs to build smarter, more capable AI systems — and we need security professionals who know what real-world vulnerability management actually looks like.

This isn't a theoretical exercise. You'll work with realistic scenarios drawn from how security teams actually discover, prioritize, and remediate risk across modern infrastructure. Your expertise will directly shape how AI understands and reasons about cybersecurity — making these systems more accurate, more trustworthy, and more useful for security practitioners 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 application environments
Classify severity, exploitability, and business impact using real-world security reasoning
Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
Generate, label, and validate realistic security data used to train and evaluate AI models
Apply your hands-on experience 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
Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
Understand the real-world tradeoffs between scanner output and actual exploitability
Analytical and structured in your thinking — you can explain why a risk matters, not just that it does
Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

Experience with exposure management platforms (Tenable, Qualys, Rapid7, Wiz, etc.)
Familiarity with cloud or container security vulnerability workflows
Background in SOC, red team, or penetration testing that informs your remediation thinking
Prior experience contributing to AI training, data labeling, or technical content creation

Why Join Us