Vulnerability Management Analyst
Posted 1 day ago by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The Vulnerability Management Analyst role focuses on leveraging real-world security expertise to train and evaluate AI systems in cybersecurity. Candidates will analyze vulnerability reports, classify risks, and validate security data to enhance AI's understanding of real-world threats. This position offers the flexibility of remote work and a commitment of 10–40 hours per week. Ideal candidates will have a solid background in vulnerability management and security operations.
Key Responsibilities:
- Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
- Classify severity, exploitability, and business impact using established frameworks
- Review and evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and realism
- Generate, label, and validate security-reasoning data used to train and benchmark AI systems
- Apply practical judgment on what matters in production environments
Key Skills:
- 2+ years of experience in vulnerability management, security operations, or infrastructure security
- Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
- Ability to differentiate between critical CVEs on paper and those that are exploitable in real environments
- Clear, structured, and analytical communication skills
- Self-motivated and comfortable working independently
- Experience with exposure management platforms (Tenable, Qualys, Rapid7, Wiz, etc.) is a plus
- Background in threat intelligence, red teaming, or cloud security is desirable
- Familiarity with AI evaluation or data labeling workflows is advantageous
Salary (Rate): £35.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Vulnerability Management Analyst (AI Training)
About The Role
We're looking for experienced vulnerability management and security operations professionals to help train and evaluate cutting-edge AI systems. Your real-world expertise in how security teams discover, prioritize, and remediate risk is exactly what's needed to make AI smarter about cybersecurity. This is a unique opportunity to apply your hands-on security knowledge to a high-impact project — without leaving your home office.
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 frameworks you already know
- Review and evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and realism
- Generate, label, and validate security-reasoning data used to train and benchmark AI systems
- Apply your practical judgment on what actually matters in production environments — not just theoretical risk scores
Who You Are
- 2+ years of experience in vulnerability management, security operations, or infrastructure security
- Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
- You know the difference between a critical CVE on paper and one that's actually exploitable in your environment
- Clear, structured, and analytical communicator — you can explain your reasoning in writing
- Self-motivated and comfortable working independently on task-based assignments
Nice to Have
- Experience with exposure management platforms (Tenable, Qualys, Rapid7, Wiz, etc.)
- Background in threat intelligence, red teaming, or cloud security
- Familiarity with AI evaluation or data labeling workflows
Why Join Us
- Work directly on frontier AI systems built in partnership with leading AI research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to work that shapes how AI reasons about real-world cybersecurity challenges
- Potential for ongoing work and contract extension