Cloud Security Analyst

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.

Cloud Security Analyst (AI Training) About The Role We're partnering with leading AI research labs to build smarter, safer AI systems — and we need practitioners who truly understand how cloud environments fail in the real world. As a Cloud Security Analyst, you'll analyze real cloud security scenarios, identify failure patterns, and help train AI models to reason accurately about modern infrastructure risk. Your hands-on expertise becomes the foundation for the next generation of AI security intelligence. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns Review IAM configurations, networking setups, storage policies, and container security issues Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents actually unfold Provide structured, expert feedback that directly shapes how AI understands cloud security Who You Are 2+ years of hands-on experience working with cloud environments in production Solid familiarity with cloud IAM, networking, storage, and container security concepts Experience recognizing and reasoning about real-world misconfigurations and security incidents Ability to clearly articulate blast radius, risk exposure, and business impact Self-motivated and comfortable working independently and asynchronously Nice to Have Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Defender for Cloud) Background in incident response, penetration testing, or cloud architecture Familiarity with compliance frameworks such as CIS, NIST, or SOC 2 Prior experience working on AI, data labeling, or 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 Your real-world expertise creates a lasting impact on how AI understands security Potential for ongoing work and contract extension Show more