Data Security & DLP Analyst
About this role
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
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