Data Security & DLP Analyst

About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced data security professionals who understand how data leaks actually happen — and can bring that real-world expertise to help shape how AI reasons about sensitive information risk.

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

• Analyze realistic data security and DLP scenarios across 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 realistic data security cases used to train and evaluate AI systems
• Provide expert feedback that helps AI models understand how sensitive information is exposed and protected in modern organizations

• 2+ years of experience in data security, compliance, or security operations
• Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
• Practical, hands‑on understanding of how data risk plays out in real enterprise environments
• Strong analytical and written communication skills
• Comfortable working independently and asynchronously on task‑based assignments

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
• Background in security engineering, information governance, or data privacy
• Familiarity with AI evaluation or data labeling workflows

• 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
• Your expertise shapes how AI understands one of cybersecurity's most critical domains
• Potential for ongoing work and contract extension