Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training) About The Role We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for data security professionals who understand how data leaks actually happen 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 sensitive information, data exposure, and protection strategies. Your real-world knowledge of DLP tools, classification frameworks, and security incidents will directly shape how the next generation of AI understands data risk. • 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 evaluate AI systems • Provide structured expert feedback that helps AI reason correctly about sensitive information risk Who You Are • 2+ years of experience in data security, compliance, security operations, or a closely related field • Practical familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts • Solid understanding of how data risk plays out in real environments — not just on paper • Able to analyze scenarios critically and communicate your reasoning clearly in writing • Self-motivated and comfortable working independently on asynchronous, task-based assignments Nice to Have • Experience with cloud security (AWS, Azure, GCP) or SaaS data governance • Familiarity with frameworks such as NIST, ISO 27001, GDPR, HIPAA, or CCPA • Background in security consulting, incident response, or compliance auditing • Prior experience contributing to AI training, annotation, or evaluation projects Why Join Us • Work directly on frontier AI systems alongside leading AI research labs • Fully remote and flexible — set your own hours and work at your own pace • Freelance perks: autonomy, variety, and global collaboration • Meaningful work that directly influences how AI handles sensitive information • Potential for ongoing work and contract extension as projects evolve