Demo

Vulnerability Management Analyst

Alignerr
York, NY Contractor
POSTED ON 6/1/2026
AVAILABLE BEFORE 6/30/2026
Vulnerability Management Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research labs to build smarter, more capable AI systems — and we need experienced security practitioners to 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 cutting-edge AI models.

This is a unique opportunity to do meaningful work at the intersection of cybersecurity and artificial intelligence — on your own schedule, from anywhere in the world.

  • 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 industry-standard frameworks
  • Evaluate and validate patching, mitigation, and remediation decision-making scenarios
  • Generate, label, and review realistic security-reasoning data used to train and benchmark AI systems
  • Apply your practitioner instincts to help AI understand the difference between theoretical risk and what actually matters in production

Who You Are

  • 2 years of experience in vulnerability management, security operations, or infrastructure security
  • Solid working knowledge of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
  • Understand the real-world tradeoffs security teams face when managing and prioritizing risk at scale
  • Analytical and structured thinker who can communicate complex security concepts clearly
  • Self-motivated and comfortable working independently on asynchronous, task-based assignments

Nice to Have

  • Experience with tools like Tenable, Qualys, Rapid7, or similar vulnerability management platforms
  • Familiarity with cloud infrastructure security or container environments
  • Background in threat intelligence, red teaming, or security engineering
  • Prior experience contributing to AI training, data labeling, or technical 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
  • Apply deep security expertise to a high-impact, emerging field
  • Potential for ongoing work and contract extension

Salary : $35 - $60

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