Vulnerability Management Analyst

Alignerr Corp.; Montreal; Remote; CAD 41,000 - 76,000; Part time

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) for a remote hourly contract in North America. You'll analyze vulnerability data, classify risk, and help shape AI models that reason about real-world security.

The role emphasizes practical remediation thinking and collaboration with security teams. Ideal candidates have 2+ years in vulnerability management or security operations, familiarity with CVEs and risk frameworks, and strong written communication.

Qualifications

• 2+ years of 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 nuance between a high CVSS score and an actual exploitable threat in the wild
• A structured, analytical thinker who can explain your reasoning clearly in writing

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications
• Classify severity, impact, exploitability, and remediation strategies
• Review and evaluate patching, mitigation, and remediation decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train AI systems
• Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production environments

Skills

Vulnerability management

Security operations

Infrastructure security

Tools

Tenable

Qualys

Rapid7

Job description

Vulnerability Management Analyst (AI Training)

We partner with the world's leading AI research labs to build smarter, safer AI systems - and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your hands-on experience with CVEs, exposure data, and remediation workflows to help train and evaluate cutting-edge AI models on how security teams actually think and operate.

This is a unique opportunity to apply your domain expertise in a new way - shaping how the next generation of AI understands and reasons about real-world security risk.

About The Role

• 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
• 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 real-world judgment to help AI distinguish 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
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
• You understand the nuance between a high CVSS score and an actual exploitable threat in the wild
• A structured, analytical thinker who can explain your reasoning clearly in writing
• Comfortable working independently on task-based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
• Familiarity with cloud or container security vulnerability management
• Background in threat intelligence or security architecture
• Prior work in AI, data labeling, or technical content evaluation

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
• Your security expertise creates lasting impact on how AI understands real-world risk
• Potential for ongoing work and contract extension