Data Security & DLP Analyst (AI Training)

Alignerr United State
Remote
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AI Summary

We're looking for data security professionals to analyze realistic data security and DLP scenarios, classify data sensitivity levels, and generate data-security cases to train AI systems. This role requires 2+ years of experience in data security, compliance, or security operations. Familiarity with DLP tools, data classification frameworks, and privacy concepts is necessary.

Key Highlights
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels
Generate data-security cases to train AI systems
Key Responsibilities
Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, and policy violations
Generate, label, and validate data-security cases used to train and benchmark AI systems
Technical Skills Required
DLP tools Data classification frameworks Privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)
Benefits & Perks
Fully remote and flexible work arrangement
Freelance autonomy with meaningful work
Potential for ongoing work and contract extension
Nice to Have
Hands-on experience with DLP platforms (Microsoft Purview, Forcepoint, Symantec, etc.)
Background in cloud security, insider threat detection, or incident response

Job Description


Data Security & DLP Analyst (AI Training)

About The Role

We partner with the world's leading AI research teams to build smarter, safer AI systems. Now we're looking for data security professionals who understand how sensitive information is exposed, detected, and protected in the real world — and want to put that knowledge to work shaping the next generation of AI.

This is a unique opportunity to move beyond traditional security ops and directly influence how AI reasons about data risk, privacy, and protection at scale.

  • 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 response strategies for realism and accuracy
  • Generate, label, and validate data-security cases used to train and benchmark AI systems
  • Help AI models understand how real-world data leaks happen — and how they should be stopped

Who You Are

  • 2+ years of experience in data security, compliance, information security, 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 across modern enterprise environments
  • Able to think like both an attacker and a defender when assessing exposure scenarios
  • Detail-oriented, self-motivated, and comfortable working independently and asynchronously

Nice to Have

  • Hands-on experience with DLP platforms (Microsoft Purview, Forcepoint, Symantec, etc.)
  • Background in cloud security, insider threat detection, or incident response
  • Familiarity with AI training, annotation, or evaluation workflows
  • Security certifications such as CISSP, CISM, CISA, or CompTIA Security+

Why Join Us

  • Work directly on frontier AI systems alongside top research labs
  • Fully remote and flexible — set your own schedule
  • Freelance autonomy with meaningful, intellectually engaging work
  • Contribute to AI that reasons more accurately about real-world security risks
  • Potential for ongoing work and contract extension

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