Data Security & DLP Analyst
About this role
About the Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for data security professionals who understand how data leaks actually happen — and can help AI systems reason about sensitive information risk the way a seasoned practitioner would. This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments - Classify data sensitivity levels, exposure paths, and policy violations - Evaluate prevention, detection, and response strategies for effectiveness - Generate, label, and validate real-world data security cases used to train and evaluate AI systems - Help AI models reason accurately about how sensitive information is exposed and protected in modern organizations Who You Are - 2+ years of experience in data security, compliance, or security operations - Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.) - Practical understanding of how data risk plays out in real enterprise environments - Able to think critically and communicate findings clearly in writing - Detail-oriented and comfortable working independently on task-based assignments Nice to Have - Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint) - Background in cloud security, insider threat programs, or incident response - Familiarity with AI evaluation or data annotation workflows Why Join Us - Work directly on frontier AI systems with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Make a meaningful contribution to how AI understands and handles sensitive data - Potential for ongoing work and contract extension
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