Data Security & DLP Analyst (AI Training)

About The Role

We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need data security professionals who understand how data leaks actually happen in the real world.

This is a unique opportunity to apply your expertise in DLP, data classification, and security operations to shape how AI systems reason about sensitive information risk. Your experience with real incidents, policy violations, and prevention strategies will directly influence the quality of next-generation AI models.

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
Generate, label, and validate data security cases used to train and evaluate AI systems




Apply your practical knowledge of how data risk plays out to help AI reason more accurately about these situations

Who You Are

2+ years of experience in data security, compliance, or security operations
Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts
Strong practical understanding of how sensitive data is exposed and protected in real environments
Detail-oriented and able to communicate security concepts clearly in writing
Self-motivated and comfortable working independently on task-based assignments

Nice to Have

Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
Background in GDPR, HIPAA, PCI-DSS, or other data privacy regulations
Prior work in security operations centers (SOC), insider threat programs, or data governance

Why Join Us

Work directly on frontier AI systems with top-tier research labs
Fully remote and adaptable — work on your own schedule
Freelance perks: autonomy, variety, a

📌 Data Security (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México