Vulnerability Management Analyst

Company: Alignerr
Apply for the Vulnerability Management Analyst
Location: Manchester
Job Description:

Vulnerability Management Analyst (AI Training)

About The Role

We’re partnering with the world’s leading AI research labs to build smarter, more capable AI systems — and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you’ll apply your hands-on expertise in CVEs, risk prioritization, and remediation to help train and evaluate cutting-edge AI models on how security teams actually think and operate.

This is a unique opportunity to go beyond your day-to-day security work and directly influence how the next generation of AI understands cybersecurity risk.

  • 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, and business impact using industry-standard frameworks
  • Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and practicality
  • Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
  • Apply your understanding of the gap between theoretical risk and what actually matters in production environments

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 (e.g., CVSS, EPSS, KEV)
  • You understand real-world remediation tradeoffs — not just what the scanner says, but what a security team would actually do
  • Structured, analytical thinker who can communicate reasoning clearly in writing
  • Self-motivated and comfortable working independently on async, task-based assignments

Nice to Have

  • Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7, Wiz)
  • Background in threat intelligence, penetration testing, or cloud security
  • Familiarity with AI workflows or data labeling — though not required

Why Join Us

  • Work directly on frontier AI systems alongside top research labs
  • Fully remote and flexible — set your own schedule and workload
  • Freelance autonomy with meaningful, intellectually engaging work
  • Apply your security expertise in a brand-new way that shapes the future of AI
  • Potential for ongoing work and contract extension

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Posted: May 29th, 2026