Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training) About The Role Data breaches don't happen in theory — they happen in the real world, across cloud platforms, SaaS tools, and enterprise systems. We're looking for experienced data security professionals who understand how sensitive information actually gets exposed, and what it takes to detect and stop it. At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI models. Your hands-on expertise in data loss prevention (DLP) and security operations will help shape how AI reasons about sensitive information risk — making these systems smarter, safer, and more grounded in reality. • 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 benchmark AI systems • Apply your practical security knowledge to help AI better understand how data risk plays out in the wild 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, CCPA, etc.) • You've seen how data risk actually unfolds in real environments — not just in textbooks • Strong analytical thinking and attention to detail • Comfortable working independently and asynchronously Nice to Have • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling • Background in security architecture, insider threat, or data governance • Familiarity with AI or machine learning workflows Why Join Us • Work directly on cutting-edge AI projects with top-tier research labs • Fully remote and flexible — work on your own schedule • Freelance perks: autonomy, variety, and global collaboration • Your domain expertise has direct impact on how frontier AI models understand and handle sensitive data • Potential for ongoing work and contract extension