About this role · Coding
About the Role We're partnering with leading AI research labs to build smarter, more capable AI systems — and we need real security practitioners to make it happen. As a Vulnerability Management Analyst, you'll bring your hands-on experience with CVEs, exposure management, and remediation workflows to help train and evaluate frontier AI models on the kind of security reasoning that actually matters in production environments. This is a rare opportunity to apply your domain expertise beyond traditional security ops — and directly influence how the next generation of AI thinks about risk. - Organization: Alignerr - Type: Hourly Contract - Location: Fully Remote - Commitment: 10–40 hours/week What You'll Do - Analyze vulnerability reports, CVEs, and real-world exposure scenarios across infrastructure and application environments - 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 risk actually matters in production — not just what looks bad on paper Who You Are - 2+ years of experience in vulnerability management, security operations, or infrastructure security - Familiar with CVE databases, vulnerability scanners, patching workflows, and risk prioritization frameworks (e.g., CVSS, EPSS, SSVC) - You understand the gap between theoretical severity and real-world exploitability — and you know how to communicate it clearly - Structured, analytical thinker who can document reasoning in a clear and consistent way - Comfortable working independently and asynchronously Nice to Have - Experience with tools like Tenable, Qualys, Rapid7, or similar platforms - Familiarity with cloud infrastructure security or container vulnerability management - Background in threat intelligence or red team/blue team operations - Prior experience contributing to AI training, annotation, or evaluation projects Why Join Us - Work directly on frontier AI systems alongside top-tier research teams - Fully remote and flexible — work on your own schedule - Freelance autonomy with the backing of a well-connected AI training organization - Contribute to meaningful work that helps AI reason more accurately about real-world security risk - Potential for ongoing work and contract extension