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 sensitive information is exposed, mishandled, and protected in the real world. This is a unique opportunity to apply your hands-on security expertise to a high-impact problem: teaching AI systems to reason accurately about data risk, DLP controls, and information security scenarios. Your real-world knowledge directly shapes how frontier AI understands and responds to data security challenges. - 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 - 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 - Apply your practical understanding of how data risk plays out across modern organizations Who You Are - 2+ years of experience in data security, compliance, security operations, or a related field - Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA) - Practical understanding of how sensitive data moves, leaks, and gets exposed in real environments - Strong written communication skills and ability to document findings clearly - Self-motivated and comfortable working independently on task-based assignments Nice to Have - Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management - Background in security policy development, risk assessment, or data governance - Familiarity with frameworks like NIST, ISO 27001, or CIS Controls - Prior exposure to AI, machine learning, or data annotation workflows Why Join Us - Work directly on frontier AI systems alongside world-class research teams - 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
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