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Data Security & DLP Analyst

$38-60/hrRemoteFreelanceCODING

About the Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for data security professionals who understand how data leaks actually happen — and can help AI systems reason about sensitive information risk the way a seasoned practitioner would.

This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
  • Classify data sensitivity levels, exposure paths, and policy violations
  • Evaluate prevention, detection, and response strategies for effectiveness
  • Generate, label, and validate real-world data security cases used to train and evaluate AI systems
  • Help AI models reason accurately 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 concepts (GDPR, HIPAA, PCI-DSS, etc.)
  • Practical understanding of how data risk plays out in real enterprise environments
  • Able to think critically and communicate findings clearly in writing
  • Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

  • Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint)
  • Background in cloud security, insider threat programs, or incident response
  • Familiarity with AI evaluation or data annotation 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 contribution to how AI understands and handles sensitive data
  • Potential for ongoing work and contract extension