Vulnerability Management Analyst
About this role
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
Application listings
Choose a source listing and check its country requirements.