Data Security and DLP Analyst

Data Security & DLP Analyst (AI Training) About The Role We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need data security professionals who know how breaches actually happen. This is your opportunity to apply your hands-on expertise in DLP, data classification, and security operations to directly shape how AI understands and reasons about sensitive information risk. Your real-world knowledge of how data leaks, gets detected, and gets protected will become the foundation for next-generation AI capabilities.

• Organization: Alignerr
• Type: Hourly Contract
• Commitment: 10–40 hours/week
• Location: Remote 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
• Help AI reason correctly about how sensitive information is exposed and protected in modern organizations 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 requirements (e.g., GDPR, HIPAA, PCI-DSS)
• Practical understanding of how data risk plays out in real-world environments — not just theory
• Able to think clearly about attack paths, exposure scenarios, and control gaps
• Self-directed and comfortable working independently on task-based assignments Nice to Have
• Experience with cloud security (AWS, Azure, GCP) or SaaS data protection controls
• Background in security operations, incident response, or data governance
• Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
• Prior experience contributing to AI training, red-teaming, or content evaluation Why Join Us
• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — complete tasks on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful contribution to AI safety and responsible AI development
• Potential for ongoing work and contract extension