Vulnerability Management Analyst

Alignerr Corp.; United States; Remote; AUD 55,000 - 96,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking a Vulnerability Management Analyst (AI Training) to evaluate and improve AI systems that reason about real-world cybersecurity risk. You will analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications, and help shape how AI understands security challenges in production.

This remote hourly contract offers flexible hours, with opportunities to contribute to cutting-edge AI research labs and gain hands-on experience in risk prioritization

Qualifications

• 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security.
• Familiarity with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, CISA KEV).
• Strong understanding of the tradeoffs between theoretical risk and operational impact.
• Analytical and structured thinker who can clearly articulate security reasoning.
• Comfortable working independently on task-based assignments.

Responsibilities

• Analyze vulnerability reports, CVEs, and exposure scenarios across infrastructure and applications.
• Assess severity, exploitability, and impact to classify and prioritize security risk.
• Review and evaluate patching, mitigation, and remediation decision-making scenarios.
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems.
• Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production environments.

Skills

Vulnerability management

Security operations

Analytical thinking

Independent work

Risk assessment

Tools

Tenable

Qualys

Rapid7

Wiz

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 cybersecurity risk. Your expertise in vulnerability management, exposure analysis, and remediation will directly shape how AI understands and responds to security challenges faced by modern organizations.

This is a unique opportunity to work at the intersection of cybersecurity and cutting-edge AI — contributing your domain knowledge to systems being built by the world's leading AI research labs.

• 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 applications
• Assess severity, exploitability, and impact to classify and prioritize security risk
• Review and evaluate patching, mitigation, and remediation decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and benchmark AI systems
• Apply your real-world judgment to help AI distinguish between theoretical risk and what actually matters in production environments

Who You Are

• 2+ years of hands‑on experience in vulnerability management, security operations, or infrastructure security
• Familiar with CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, CISA KEV)
• Strong understanding of the tradeoffs between theoretical risk and operational impact
• Analytical and structured thinker who can clearly articulate security reasoning
• Comfortable working independently on task-based assignments

Nice to Have

• Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7, Wiz)
• Background in cloud, endpoint, or application security
• Familiarity with AI evaluation or data labeling workflows
• Experience writing security runbooks, risk assessments, or remediation guidance

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
• Make a meaningful impact on how AI reasons about real-world security risk
• Potential for ongoing work and contract extension