Data Security & DLP Analyst

New York

**Data Security \& DLP Analyst (AI Training)** **About The Role** What if your data security knowledge could help build smarter, safer AI? At Alignerr, we partner with the world's leading AI research labs to develop frontier AI models --- and we need experienced data security professionals to make it happen. As a Data Security \& DLP Analyst, you'll apply your real-world expertise in data loss prevention, classification, and incident response to shape how AI systems reason about sensitive information. Your hands-on experience with how data leaks actually happen is exactly what we need. * 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 pathways, and policy violations * Review and evaluate prevention, detection, and incident response strategies * Generate, label, and validate realistic data security cases used to train and evaluate AI models * Apply your practical knowledge of how data risk unfolds in real organizational environments **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 and exposure play out in real-world environments * Able to think critically and communicate findings in a clear, structured way * Self-motivated and comfortable working independently on task-based assignments **Nice to Have** * Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling * Background in security operations, insider threat analysis, or data governance * Familiarity with AI evaluation or data labeling 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 * Make a meaningful impact on how AI understands and handles sensitive data * Potential for ongoing work and contract extension