Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training) About The Role At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI models. We're looking for experienced data security professionals to help us teach AI how sensitive information is exposed, detected, and protected in the real world. Your expertise in DLP, data classification, and security operations will directly shape how AI systems reason about data risk — making them more accurate, more nuanced, and more useful for security teams everywhere. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments • Classify data sensitivity levels, exposure paths, and policy violations • Evaluate prevention, detection, and incident response strategies • Generate, label, and validate data security cases used to train and evaluate AI systems • Provide structured expert feedback that helps AI reason accurately about sensitive information risk Who You Are • 2+ years of experience in data security, compliance, or security operations • Hands-on familiarity 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-world environments — not just theory • Strong analytical thinking and clear written communication • Comfortable working independently on task-based assignments Nice to Have • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls • Background in compliance, risk management, or security architecture • Familiarity with AI or data labeling workflows Why Join Us • Work directly on cutting-edge AI projects with 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 safer and more security-aware • Potential for ongoing work and contract extension