Vulnerability Management Analyst

Alignerr; Denver (CO); Remote; USD 76,000 - 138,000; Part time

Job summary

Alignerr Corp. is seeking a Vulnerability Management Analyst focused on AI training. You will analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications to guide remediation.

This remote, hourly-contract role emphasizes practical risk understanding and collaboration with AI research teams. This position requires 2+ years in vulnerability management or security operations, familiarity with CVEs and risk frameworks, and the ability to distinguish real-world

Qualifications

• 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.

Responsibilities

• 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 practical understanding of what actually matters in production.

Skills

Vulnerability mgmt

CVEs

Risk prioritization

Security operations

Written communication

Tools

Tenable

Qualys

Rapid7

Defender for Endpoint

Job description

Vulnerability Management Analyst (AI Training)

About The Role

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

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

Who You Are

• 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

Nice to Have

• 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

Why Join Us

• 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