Vulnerability Management Analyst

Vulnerability Management Analyst

Posted Today by Alignerr

Negotiable
Undetermined
Remote
Manchester, England, United Kingdom

Summary: The Vulnerability Management Analyst role involves collaborating with leading AI research labs to enhance AI systems through the application of security expertise in vulnerability management. The position focuses on analyzing CVEs, risk prioritization, and remediation to influence AI's understanding of cybersecurity. This unique opportunity allows professionals to extend their impact beyond traditional security roles. The role is fully remote with flexible hours, ranging from 10 to 40 hours per week.

Key Responsibilities:

  • 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 understanding of the gap between theoretical risk and practical implications in production environments

Key Skills:

  • 2+ years of experience in vulnerability management, security operations, or infrastructure security
  • Familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, KEV)
  • Understanding of real-world remediation tradeoffs
  • Structured, analytical thinker with clear written communication skills
  • Self-motivated and comfortable working independently on async, task-based assignments
  • Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7, Wiz) is a plus
  • Background in threat intelligence, penetration testing, or cloud security is advantageous
  • Familiarity with AI workflows or data labeling is beneficial but not required

Salary (Rate): £35.00/hr

City: Manchester

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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