Vulnerability Management Analyst

Alignerr Corp.; United States; Remote; CAD 34,000 - 83,000; Part time

Benefits offered by this job

Freelance perks: autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) for a remote hourly contract. You will analyze vulnerabilities and CVEs to help train AI systems in realistic risk reasoning.

In this role, you will classify severity and remediation strategies, review patching workflows, and generate security-reasoning data to improve AI understanding of cybersecurity tradeoffs. Remote, freelance-friendly with flexible hours.

Qualifications

• 2+ years in vulnerability management, security operations, or infrastructure security.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks.
• Able to reason about tradeoffs between risk severity and operational impact.
• Structured, analytical thinker with clear written communication.
• Self-motivated and able to work independently on tasks.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and apps.
• Classify severity, impact, exploitability, and remediation strategies based on context.
• Review patching, mitigation, and remediation decision-making scenarios.
• Generate, label, and validate security-reasoning data to train AI systems.
• Apply judgment to distinguish theoretical risk from production relevance.

Skills

Vulnerability management

Security operations

Infrastructure security

Analytical thinking

Tools

CVE tracking

Vulnerability scanners

Patch management

Risk frameworks

Job description

Vulnerability Management Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research teams to build smarter, more capable AI systems — and we need practitioners who know security from the inside out. If you've spent time in vulnerability management, security operations, or infrastructure security, your real-world expertise is exactly what's needed to help AI understand how security teams actually think, prioritize, and act. This is a unique opportunity to shape how the next generation of AI reasons about cybersecurity.

• 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 remediation strategies based on real-world context
• Review and evaluate patching, mitigation, and remediation decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and improve AI systems
• Apply your practitioner judgment to distinguish theoretical risk from what actually matters in production

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
• Comfortable reasoning about the tradeoffs between risk severity and operational impact
• A structured, analytical thinker who can communicate clearly in writing
• Self-motivated and able to work independently on task-based assignments

Nice to Have

• Experience with exposure management platforms or CVSS scoring
• Familiarity with frameworks like NIST, CIS Controls, or MITRE ATT&CK
• Background in red teaming, threat intelligence, or cloud security
• Prior experience contributing to AI or data 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 at the intersection of cybersecurity and AI
• Potential for ongoing work and contract extension