Data Security & DLP Analyst
About this role
About the Role We're looking for experienced data security professionals to help train and evaluate cutting-edge AI systems. At Alignerr, we partner with the world's leading AI research labs — and we need people who understand how data leaks actually happen in the real world. Your hands-on knowledge of DLP controls, data classification, and security operations will directly shape how AI reasons about sensitive information exposure, detection, and prevention. This is a rare opportunity to apply deep security expertise to one of the most consequential technology challenges of our time. - 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 - Review and evaluate prevention, detection, and incident response strategies - Generate, label, and validate data security cases used to train and benchmark AI systems - Provide structured expert feedback that helps AI reason accurately about sensitive information risk Who You Are - 2+ years of experience in data security, compliance, or security operations - Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS) - Practical understanding of how data risk plays out in real enterprise environments - Detail-oriented with strong written communication skills - Self-motivated and comfortable working independently on task-based assignments Nice to Have - Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools - Background in security engineering, incident response, or risk management - Familiarity with AI evaluation or data labeling workflows Why Join Us - Work directly on frontier AI systems with top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Make a meaningful impact on how AI handles sensitive data responsibly - Potential for ongoing work and contract extension
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