Data Security & DLP Analyst (AI Training)

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 data security professionals who understand how data leaks actually happen — and can help AI systems reason about sensitive information risk the way a seasoned practitioner would.

This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule.

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

What You'll Do

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure paths, and policy violations
• Evaluate prevention, detection, and response strategies for effectiveness
• Generate, label, and validate real-world data security cases used to train and evaluate AI systems




• Help AI models reason accurately about how sensitive information is exposed and protected in modern organizations

Who You Are

• 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 plays out in real enterprise environments
• Able to think critically and communicate findings clearly in writing
• Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

• Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint)
• Background in cloud security, insider threat programs, or incident response
• Familiarity with AI evaluation or data annotation workflows

Why Join Us

• Work directly on frontier AI systems with top research labs
• Fully remote and versátil — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
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📌 Data Security (Madrid)
🏢 Alignerr
📍 Madrid