Vulnerability Management Analyst

Alignerr Corp.; Toronto; Remote; CAD 55,000 - 110,000; Full time

Benefits offered by this job

Autonomy

Variety of tasks

Global collaboration

Job summary

Alignerr is seeking a Vulnerability Management Analyst to join our remote, hourly contract team focusing on AI training for security models. You will analyze CVEs and exposure scenarios, rank risks, and assess patching decisions to improve AI-driven security reasoning.

Work asynchronously, with 10–40 hours per week on a flexible schedule, contributing to real-world vulnerability workflows and data generation for AI training and evaluation.

Qualifications

• 2+ years of experience in vulnerability management, security operations, or infrastructure security.
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, SSVC, etc.).
• You understand the gap between theoretical risk scores and what actually needs to be fixed in production.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments.
• Classify severity, exploitability, and business impact using real-world risk frameworks.
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and quality.
• Generate, label, and validate security-reasoning data used to train and evaluate AI systems.
• Review AI-generated security analysis outputs and provide structured, expert feedback.

Skills

Vulnerability management

CVEs familiarity

Risk prioritization

Tools

Tenable

Qualys

Rapid7

Wiz

Job description

Vulnerability Management Analyst (AI Training)

About The Role

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models — and we need security practitioners who know how vulnerability management actually works in the real world.

This isn't a theoretical exercise. You'll work with realistic CVEs, exposure scenarios, and remediation workflows to help AI systems reason about security the way experienced analysts do. Your hands-on expertise becomes the foundation for smarter, more reliable AI in 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 application environments
• Classify severity, exploitability, and business impact using real-world risk frameworks
• Evaluate patching, mitigation, and remediation decision-making scenarios for accuracy and quality
• Generate, label, and validate security-reasoning data used to train and evaluate AI systems
• Review AI-generated security analysis outputs and provide structured, expert feedback

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 (CVSS, EPSS, SSVC, etc.)
• You understand the gap between theoretical risk scores and what actually needs to be fixed in production
• A clear, structured, and analytical thinker who can document reasoning precisely
• Comfortable working independently and asynchronously on task-based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or Wiz
• Familiarity with cloud, container, or hybrid infrastructure environments
• Background in threat intelligence or exposure management
• Prior experience contributing to AI training or evaluation 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
• Your real-world security expertise shapes how AI understands and responds to risk
• Potential for ongoing work and contract extension