About the Role
We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for experienced data security professionals to help teach AI how sensitive information is exposed, detected, and protected in the real world.
This is a rare opportunity to apply your hands-on knowledge of DLP, data classification, and security operations to directly shape the next generation of AI systems — on your own schedule, from anywhere.
- 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 benchmark AI systems
- Help AI reason accurately about how sensitive information risk plays out 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, hands-on understanding of how data leaks and security failures occur in real environments
- Detail-oriented with strong written communication skills
- Comfortable working independently and asynchronously
Nice to Have
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
- Background in compliance, risk management, or incident response
- Familiarity with AI training or evaluation workflows
Why Join Us
- Work directly on frontier AI systems with top research labs
- Fully remote and flexible — set your own hours and workload
- Freelance perks: autonomy, variety, and global collaboration
- Your real-world expertise drives meaningful impact on how AI handles sensitive data
- Potential for ongoing work and contract extension