Data Security & 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