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Vulnerability Management Analyst
Job in
Denver, Denver County, Colorado, 80202, USA
Listed on 2026-09-01
Listing for:
Alignerr
Full Time
position Listed on 2026-09-01
Job specializations:
-
IT/Tech
Cybersecurity, AI Evaluation
Job Description & How to Apply Below
Vulnerability Management Analyst
$35-60/hr Remote Freelance CODING
About the RoleWe'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.
This is a unique opportunity to apply your hands-on security knowledge beyond the day-to-day — contributing to frontier AI development while working fully remotely on your own schedule.
What You'll Do- 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
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