Vulnerability Management Analyst

Alignerr Corp.

Vancouver

Remote

CAD 55,000 - 103,000

Part time

17 hours ago
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Benefits offered by this job

Autonomy
Flexible schedule
Global collaboration

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) to help train and evaluate frontier AI models by applying real-world vulnerability management practices. The role focuses on CVEs, exposure management, and remediation workflows to shape AI risk reasoning.

The position is an hourly contract with remote work on a flexible schedule, offering opportunities to contribute to cutting-edge AI projects and collaborate with a global network of security experts.

Qualifications

  • 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security.
  • Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC).
  • You understand the gap between what a scanner flags and what actually warrants urgent action.
  • Analytical and structured in your thinking — you can clearly explain your reasoning.
  • Self-motivated and comfortable working independently on async, task-based assignments.

Responsibilities

  • Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments
  • Classify severity, exploitability, business impact, and appropriate remediation strategies
  • Review and evaluate patching, mitigation, and risk prioritization decision‑making scenarios
  • Generate, label, and validate realistic security‑reasoning data used to train and benchmark AI systems
  • Help AI understand the nuanced tradeoffs between theoretical risk and what actually matters in production

Skills

Vulnerability management
Security operations
CVEs
Risk prioritization
Analytical thinking

Tools

CVSS
EPSS
SSVC

Job description

Vulnerability Management Analyst (AI Training)
About The Role

We're partnering with leading AI research labs to build smarter, more accurate AI systems — and we need experienced security practitioners to help make it happen. As a Vulnerability Management Analyst, you'll bring your real-world knowledge of CVEs, exposure management, and remediation workflows to help train and evaluate frontier AI models.

This isn't a typical security role. Your expertise becomes the foundation for how AI reasons about risk — and your fingerprints will be on some of the most advanced AI systems being built today.

  • 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, business impact, and appropriate remediation strategies
  • Review and evaluate patching, mitigation, and risk prioritization decision‑making scenarios
  • Generate, label, and validate realistic security‑reasoning data used to train and benchmark AI systems
  • Help AI understand the nuanced tradeoffs 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
  • Solid familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
  • You understand the gap between what a scanner flags and what actually warrants urgent action
  • Analytical and structured in your thinking — you can clearly explain your reasoning
  • Self‑motivated and comfortable working independently on async, task-based assignments
Nice to Have
  • Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7, Wiz)
  • Background in threat intelligence, red teaming, or incident response
  • Familiarity with AI evaluation or data labeling workflows
Why Join Us
  • Work directly on cutting‑edge AI projects with top‑tier research labs
  • Fully remote and flexible — work on your own schedule, on your own terms
  • Freelance perks: autonomy, variety, and collaboration with a global network of experts
  • Make a meaningful impact — your security knowledge directly shapes how AI understands and reasons about real‑world risk
  • Potential for ongoing work and contract extension
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