Data Security & DLP Analyst (AI Training)
About The Role
We partner with the world's leading AI research teams to build smarter, safer AI systems. Now we're looking for data security professionals who understand how sensitive information is exposed, detected, and protected in the real world — and want to put that knowledge to work shaping the next generation of AI.
This is a unique opportunity to move beyond traditional security ops and directly influence how AI reasons about data risk, privacy, and protection at scale.
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 response strategies for realism and accuracy
Generate, label, and validate data-security cases used to train and benchmark AI systems
Help AI models understand how real-world data leaks happen — and how they should be stopped
Who You Are
2+ years of experience in data security, compliance, information security, 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 across modern enterprise environments
Able to think like both an attacker and a defender when assessing exposure scenarios
Detail-oriented, self-motivated, and comfortable working independently and asynchronously
Nice to Have
Hands-on experience with DLP platforms (Microsoft Purview, Forcepoint, Symantec, etc.)
Background in cloud security, insider threat detection, or incident response
Familiarity with AI training, annotation, or evaluation workflows
Security certifications such as CISSP, CISM, CISA, or CompTIA Security+
Why Join Us
Work directly on frontier AI systems alongside top research labs
Fully remote and flexible — set your own schedule
Freelance autonomy with meaningful, intellectually engaging work
Contribute to AI that reasons more accurately about real-world security risks
Potential for ongoing work and contract extension