We partner with the world's leading AI research teams and labs to build smarter, safer AI systems. Now we're looking for data security professionals who understand how data leaks actually happen — and can help teach AI to reason about sensitive information risk the same way a seasoned analyst would.
- 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 data loss incidents
- Generate, label, and validate realistic data security cases used to train and evaluate AI models
- Apply your practical understanding of how data risk plays out in real-world 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 (e.g., GDPR, HIPAA, CCPA)
- Practical understanding of how sensitive data moves, gets exposed, and gets protected in modern environments
- Comfortable working independently and asynchronously on task-based assignments
- Detail-oriented with strong written communication skills
Nice to Have
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
- Background in incident response, data governance, or information security policy
- Familiarity with AI training workflows or data annotation projects
Why Join Us
- Work directly on cutting-edge AI systems built by top research labs
- Fully remote and versátil — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact on how AI reasons about security and privacy
- Potential for ongoing work and contract extension