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
Make a meaningful contribution to how AI u

📌 Data Security (Madrid)
🏢 Alignerr
📍 Madrid