Vulnerability Management Analyst

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 experienced security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your real-world knowledge of CVEs, exposure management, and remediation workflows to help train and evaluate cutting-edge AI models. This is a unique opportunity to do meaningful work at the intersection of cybersecurity and artificial intelligence — on your own schedule, from anywhere in the world.

• 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, and business impact using industry-standard frameworks
• Evaluate and validate patching, mitigation, and remediation decision-making scenarios
• Generate, label, and review realistic security-reasoning data used to train and benchmark AI systems
• Apply your practitioner instincts to help AI understand the difference between theoretical risk and what actually matters in production

Who You Are

• 2+ years of experience in vulnerability management, security operations, or infrastructure security
• Solid working knowledge of CVEs, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC)
• Understand the real-world tradeoffs security teams face when managing and prioritizing risk at scale
• Analytical and structured thinker who can communicate complex security concepts clearly
• Self-motivated and comfortable working independently on asynchronous, task-based assignments

Nice to Have

• Experience with tools like Tenable, Qualys, Rapid7, or similar vulnerability management platforms
• Familiarity with cloud infrastructure security or container environments
• Background in threat intelligence, red teaming, or security engineering
• Prior experience contributing to AI training, data labeling, or technical evaluation 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
• Apply deep security expertise to a high-impact, emerging field
• Potential for ongoing work and contract extension