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Alignerr

Vulnerability Management Analyst

About this role

About the Role We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need security professionals who know how vulnerabilities actually work in the real world. This isn't a theoretical exercise. You'll work with realistic scenarios that mirror how security teams discover, prioritize, and remediate risk across modern infrastructure. Your expertise will directly shape how AI reasons about cybersecurity — making these systems more accurate, nuanced, and trustworthy. - 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 - Classify severity, impact, exploitability, and appropriate remediation strategies - Evaluate patching, mitigation, and remediation decision-making scenarios for real-world accuracy - Generate, label, and validate security-reasoning data used to train and benchmark AI systems - Apply your practitioner knowledge to help AI distinguish between theoretical risk and what actually matters in production 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) - You understand the gap between a scanner report and a real remediation priority — and can articulate why - Clear, structured analytical thinker who can explain security decisions in plain language - Comfortable working independently and asynchronously Nice to Have - Experience with exposure management platforms (Tenable, Qualys, Rapid7, etc.) - Background in cloud or hybrid infrastructure security - Familiarity with threat intelligence or attack surface management - Prior experience contributing to 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 - Contribute to meaningful work that makes AI more accurate and reliable in cybersecurity - Potential for ongoing work and contract extension

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