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 analyst will analyze vulnerability reports and real-world scenarios, classify risks, and contribute to training AI models on cybersecurity operations. This position offers a unique opportunity to influence AI's understanding of cybersecurity risk while working remotely and flexibly. Candidates should have a solid background in vulnerability management and risk prioritization frameworks.
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 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 nice to have
Salary (Rate): £35.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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