About this role
Vulnerability Management Analyst (AI Training) About The Role We're looking for experienced security practitioners to help train and evaluate frontier AI systems using real-world vulnerability management scenarios. At Alignerr, we partner with the world's leading AI research labs — and your hands-on expertise in CVEs, exposure management, and remediation is exactly what's needed to make AI smarter about cybersecurity. This is a unique opportunity to apply your security knowledge in a new and impactful direction, working flexibly on your own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and applications Classify severity, exploitability, business 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 benchmark AI systems Apply your practical knowledge of what actually matters in production environments — not just theoretical risk 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, SSVC) Understands the real-world tradeoffs between theoretical severity and operational risk Analytical and structured thinker who can communicate complex security reasoning clearly Self-motivated and comfortable working independently on task-based assignments Nice to Have Experience with exposure management platforms (e.g., Tenable, Qualys, Rapid7) Background in cloud security, application security, or threat intelligence Familiarity with AI evaluation or data labeling workflows Why Join Us Work directly on frontier AI systems with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that shapes how AI reasons about real-world cybersecurity Potential for ongoing work and contract extension