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 security practitioners who know how vulnerability management actually works in the real world.

This isn't a theoretical exercise. You'll work with realistic scenarios drawn from how security teams actually discover, prioritize, and remediate risk across modern infrastructure. Your expertise will directly shape how AI understands and reasons about cybersecurity.

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, impact, and appropriate remediation strategies
• Review and evaluate patching, mitigation, and risk prioritization decision-making scenarios
• Generate, label, and validate realistic security-reasoning data used to train and evaluate AI systems
• Apply your practical knowledge of how real security teams operate to improve AI outputs

Who You Are

• 2+ years of hands-on experience in vulnerability management, security operations, or infrastructure security
• Solid understanding of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks
• Comfortable navigating the gap between theoretical risk scores and what actually matters in production environments
• Clear, structured, and analytical communicator — able to explain your reasoning in writing
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar platforms
• Familiarity with frameworks such as CVSS, EPSS, or CISA KEV
• Background in threat intelligence, red teaming, or security engineering
• Prior experience working on AI, data labeling, or annotation 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
• Meaningful work that shapes how AI understands real-world cybersecurity
• Potential for ongoing work and contract extension