Vulnerability Management Analyst

Alignerr Corp.; Greater London; Remote; GBP 83,000 - 124,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) to apply hands-on security experience to train and evaluate AI systems, focusing on real-world risk discovery, prioritization, and remediation.

The role is remote, hourly, with 10–40 hours/week, offering autonomous, contract-based work and opportunities to influence AI cybersecurity assessments.

Qualifications

• 2+ years of experience in vulnerability management, security operations, or infrastructure security.
• Strong 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.

Responsibilities

• 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.

Skills

Vulnerability management

Security operations

Infra security

Written communication

Tools

Tenable

Qualys

Rapid7

Job description

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