Vulnerability Management Analyst

Alignerr Corp.

Sydney

Remote

AUD 83,000 - 124,000

Part time

13 hours ago
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Job summary

Alignerr Corp. is seeking a Vulnerability Management Analyst (AI Training) to shape how AI systems understand cybersecurity. You will triage CVEs, prioritize remediation, and guide patch strategies in production environments while working remotely on a freelance, 10–40 hour/week arrangement.

You will analyze vulnerability data, label security-reasoning inputs, and review AI outputs for accuracy. Strong knowledge of CVSS/EPSS and experience with Tenable/Qualys/Rapid7 are a plus.

Qualifications

  • 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security.
  • Familiar with CVE databases, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS).
  • Able to translate risk scores to actionable remediation in production environments.
  • Analytical and structured thinker with clear written reasoning.
  • Self-directed and reliable in an async, remote work setting.

Responsibilities

  • Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications.
  • Classify severity, exploitability, and business impact to prioritize risk.
  • Evaluate patching strategies, mitigations, and remediation workflows.
  • Generate, label, and validate security-reasoning data for AI training.
  • Review AI outputs for technical accuracy and identify gaps in security logic.

Skills

Vulnerability management
Security operations
Infrastructure security
CVSS/EPSS
CVE databases
Vulnerability scanners
Patching workflows
Risk prioritization
Analytical thinking
Written communication

Tools

Tenable
Qualys
Rapid7
Cloud security platforms

Job description

Vulnerability Management Analyst (AI Training)

We're looking for experienced security practitioners to help shape how the next generation of AI understands cybersecurity. At Alignerr, we partner with the world's leading AI research labs — and we need real-world vulnerability management expertise to build AI systems that reason accurately about security risk.

If you've spent time in the trenches triaging CVEs, managing patch cycles, or prioritizing remediation in production environments, your knowledge is exactly what frontier AI needs.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications
  • Classify severity, exploitability, and business impact — the way experienced practitioners actually think about risk
  • Evaluate patching strategies, mitigations, and remediation decision‑making workflows
  • Generate, label, and validate security-reasoning data used to train and evaluate AI systems
  • Review AI outputs for technical accuracy and flag gaps in security logic or risk assessment
Who You Are
  • 2+ years of hands‑on experience in vulnerability management, security operations, or infrastructure security
  • Familiar with CVE databases, vulnerability scanners, patching workflows, and risk prioritization frameworks (CVSS, EPSS, etc.)
  • Comfortable navigating the gap between theoretical risk scores and what actually matters in a production environment
  • Analytical and structured in your thinking — you can explain your reasoning clearly in writing
  • Self‑directed and reliable in an async, remote work setting
Nice to Have
  • Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
  • Background in threat intelligence, penetration testing, or security engineering
  • Familiarity with cloud infrastructure security (AWS, Azure, GCP)
  • Prior experience with AI evaluation, annotation, or red‑teaming
Why Join Us
  • Work directly on frontier AI systems used by the world's top research labs
  • Fully remote and async — work on your own schedule, from anywhere
  • Freelance flexibility: choose your hours, control your workload
  • Make a lasting contribution to how AI reasons about real-world security
  • Potential for ongoing work and contract extension
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