Vulnerability Management Analyst

We're looking for experienced security practitioners to help evaluate and improve AI systems that reason about real-world vulnerability management. Your expertise in CVEs, exposure analysis, and remediation workflows will directly shape how AI understands and responds to cybersecurity risk.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and application environments
• Assess severity, exploitability, impact, and recommend appropriate remediation strategies
• Review and evaluate AI-generated reasoning around patching, mitigation, and risk prioritization decisions
• Generate, label, and validate realistic security scenarios used to train and benchmark AI systems
• Apply your practical understanding of what actually matters in production — not just theoretical risk scores

• 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)
• Able to distinguish between theoretical risk and real-world exploitability in production environments
• A structured, analytical thinker who communicates clearly in writing
• Comfortable working independently and asynchronously on task-based assignments

• Experience with tools like Tenable, Qualys, Rapid7, or Defender for Endpoint
• Background in threat intelligence, red teaming, or incident response
• Familiarity with cloud security environments (AWS, Azure, GCP)
• Prior experience with AI training, data labeling, or evaluation workflows

• Work directly on frontier AI systems with leading research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Apply your real-world security expertise to a high-impact, emerging field
• Potential for ongoing work and contract extension