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Data Security & DLP Analyst

$38-60/hrRemoteFreelanceCODING

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