Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training)

About The Role

We're partnering with leading AI research labs to build AI systems that truly understand data security — how sensitive information moves, where it gets exposed, and how organizations defend against it. If you've worked in data security or compliance and know how real-world data leaks actually happen, this is your opportunity to put that expertise to work shaping the next generation of AI.

• 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 incident response strategies for accuracy and completeness
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Help AI models reason more accurately about sensitive information risk and DLP controls
  
  

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 in real enterprise environments
• Able to identify nuanced exposure scenarios and articulate why they matter
• Detail-oriented with strong written communication skills
• Comfortable working independently and asynchronously
  
  

Nice to Have

• Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Nightfall)
• Background in cloud security, insider threat detection, or security operations
• Familiarity with data governance or privacy engineering
• Experience writing security policies, incident reports, or compliance documentation
  
  

Why Join Us

• Work directly on frontier AI systems with real-world security impact
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute expertise that makes AI safer and more trustworthy
• Potential for ongoing work and contract extension