Data Security & DLP Analyst
About this role
About the Role We're partnering with leading AI research labs to build AI systems that truly understand data security — how sensitive information moves, where it gets exposed, and how organizations defend against it. If you've worked in data security or compliance and know how real-world data leaks actually happen, this is your opportunity to put that expertise to work shaping the next generation of AI. - 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 for accuracy and completeness - Generate, label, and validate data security cases used to train and benchmark AI systems - Help AI models reason more accurately about sensitive information risk and DLP controls Who You Are - 2+ years of experience in data security, compliance, information security, 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 identify nuanced exposure scenarios and articulate why they matter - Detail-oriented with strong written communication skills - Comfortable working independently and asynchronously Nice to Have - Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Nightfall) - Background in cloud security, insider threat detection, or security operations - Familiarity with data governance or privacy engineering - Experience writing security policies, incident reports, or compliance documentation Why Join Us - Work directly on frontier AI systems with real-world security impact - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Contribute expertise that makes AI safer and more trustworthy - Potential for ongoing work and contract extension
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