Data Security & DLP Analyst

What if your data security knowledge could help build smarter, safer AI? At Alignerr, we partner with the world's leading AI research labs to develop frontier AI models — and we need experienced data security professionals to make it happen.

As a Data Security & DLP Analyst, you'll apply your real-world expertise in data loss prevention, classification, and incident response to shape how AI systems reason about sensitive information. Your hands-on experience with how data leaks actually happen is exactly what we need.

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

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure pathways, and policy violations
• Review and evaluate prevention, detection, and incident response strategies
• Generate, label, and validate realistic data security cases used to train and evaluate AI models
• Apply your practical knowledge of how data risk unfolds in real organizational environments

• 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 and exposure play out in real-world environments
• Able to think critically and communicate findings in a clear, structured way
• Self-motivated and comfortable working independently on task-based assignments

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in security operations, insider threat analysis, or data governance
• Familiarity with AI evaluation or data labeling workflows

• Work directly on cutting-edge AI projects with top-tier 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 understands and handles sensitive data
• Potential for ongoing work and contract extension