Vulnerability Management Analyst

Alignerr; United Kingdom; Remote; GBP 34,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Freelance perks

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) to join a fully remote, hourly contract role. You will analyze vulnerability reports, CVEs, and exposure scenarios, and help determine practical remediation priorities in production environments.

You will contribute to training AI systems by generating and validating security-reasoning data, ensuring accurate risk distinctions between theoretical and real-world threats. Flexible hours and global collaboration are offered.

Qualifications

• 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC).

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications.
• Classify severity, impact, exploitability, and appropriate remediation strategies.
• Evaluate patching, mitigation, and remediation decision-making scenarios for real-world accuracy.
• Generate, label, and validate security‑reasoning data used to train and benchmark AI systems.
• Apply practitioner knowledge to help AI distinguish between theoretical risk and what actually matters in production.

Skills

Vulnerability management

Security operations

Infrastructure security

Analytical thinking

Independent work

Tools

CVSS

EPSS

SSVC

Job description

Vulnerability Management Analyst (AI Training)

About The Role

We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need security professionals who know how vulnerabilities actually work in the real world.

This isn't a theoretical exercise. You'll work with realistic scenarios that mirror how security teams discover, prioritize, and remediate risk across modern infrastructure. Your expertise will directly shape how AI reasons about cybersecurity — making these systems more accurate, nuanced, and trustworthy.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications
• Classify severity, impact, exploitability, and appropriate remediation strategies
• Evaluate patching, mitigation, and remediation decision-making scenarios for real-world accuracy
• Generate, label, and validate security‑reasoning data used to train and benchmark AI systems
• Apply your practitioner knowledge to help AI distinguish between theoretical risk and what actually matters in production

Who You Are

• 2+ years of hands‑on experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
• You understand the gap between a scanner report and a real remediation priority — and can articulate why
• Clear, structured analytical thinker who can explain security decisions in plain language
• Comfortable working independently and asynchronously

Nice to Have

• Experience with exposure management platforms (Tenable, Qualys, Rapid7, etc.)
• Background in cloud or hybrid infrastructure security
• Familiarity with threat intelligence or attack surface management
• Prior experience contributing to AI, data labeling, or annotation projects

Why Join Us

• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that makes AI more accurate and reliable in cybersecurity
• Potential for ongoing work and contract extension