Vulnerability Management Analyst

A Vulnerability Management Analyst identifies and mitigates security risks in systems and applications. This role involves assessing vulnerabilities, prioritizing remediation efforts, and ensuring compliance with security standards.

Alignerr is a technology-focused organization that appears to specialize in roles related to artificial intelligence and cybersecurity. The job titles suggest an emphasis on AI training, infrastructure development, and security operations, indicating potential involvement in areas such as machine learning model development, system architecture, and threat detection. While the exact nature of the company's business remains unspecified, the recurring presence of AI-related positions implies a strategic focus on integrating advanced technologies into secure and scalable systems. The inclusion of roles like Governance, Risk & Compliance Analyst and Vulnerability Management Analyst further points to an environment where regulatory adherence and risk mitigation are critical components of operations. Alignerr likely operates in a sector that requires robust technical expertise and compliance with industry standards.

Vulnerability Management Analyst (AI Training) About The Role We're looking for experienced security professionals to help train and evaluate cutting-edge AI systems. At Alignerr, we partner with the world's leading AI research labs — and we need practitioners who understand how vulnerability management actually works in the real world. This isn't theoretical work. You'll bring your hands-on experience with CVEs, scanners, patching workflows, and risk prioritization to help AI reason about security the way a skilled analyst would. 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 realism and accuracy Generate, label, and validate security-reasoning data used to train and benchmark AI systems Apply real-world judgment to distinguish genuine risk from theoretical noise Who You Are 2+ years of 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) Able to think through the tradeoffs between theoretical risk scores and what actually matters in production environments A clear, structured, and analytical thinker who communicates reasoning well in writing Comfortable working independently and asynchronously on task-based assignments Nice to Have Experience with tools like Tenable, Qualys, Rapid7, or similar platforms Background in cloud security, DevSecOps, or enterprise patch management Familiarity with AI evaluation or data labeling workflows Why Join Us Work directly on frontier AI systems alongside top-tier research teams Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Put your security expertise to use in a genuinely novel and high-impact way Potential for ongoing work and contract extension Show more