Data Security & DLP Analyst

July 12, 2026 Auto Import

Data Security & DLP Analyst (AI Training) 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. <ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week </li></ul>What You'll Do <ul><li>Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments</li><li>Classify data sensitivity levels, exposure paths, and policy violations</li><li>Review and evaluate prevention, detection, and incident response strategies</li><li>Generate, label, and validate data security cases used to train and benchmark AI systems</li><li>Provide structured expert feedback that helps AI reason accurately about sensitive information risk </li></ul>Who You Are <ul><li>2+ years of experience in data security, compliance, or security operations</li><li>Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)</li><li>Practical understanding of how data risk plays out in real enterprise environments</li><li>Detail-oriented with strong written communication skills</li><li>Self-motivated and comfortable working independently on task-based assignments </li></ul>Nice to Have <ul><li>Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools</li><li>Background in security engineering, incident response, or risk management</li><li>Familiarity with AI evaluation or data labeling workflows </li></ul>Why Join Us <ul><li>Work directly on frontier AI systems with top research labs</li><li>Fully remote and flexible — work on your own schedule</li><li>Freelance perks: autonomy, variety, and global collaboration</li><li>Make a meaningful impact on how AI handles sensitive data responsibly</li><li>Potential for ongoing work and contract extension</li></ul>

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