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Data Security & DLP Analyst

Alignerr

AI Expert - Cybersecurity Contractor
Remote (Global) $38 – $60/hr June 23, 2026 Reposted Jun 23 · 2×

Job description

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.

  • 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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