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 experienced data security professionals who understand how data leaks actually happen — and can bring that real-world expertise to help shape how AI reasons about sensitive information risk.
This is a unique opportunity to apply your knowledge of DLP tools, data classification, and security operations to directly influence the next generation of AI systems.
- 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 pathways, and policy violations
- Evaluate prevention, detection, and incident response strategies for accuracy and completeness
- Generate, label, and validate realistic data security cases used to train and evaluate AI systems
- Provide expert feedback that helps AI models understand how sensitive information is exposed and protected in modern organizations
Who You Are
- 2+ years of experience in data security, compliance, or security operations
- Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
- Practical, hands-on understanding of how data risk plays out in real enterprise environments
- Strong analytical and written communication skills
- Comfortable working independently and asynchronously on task-based assignments
Nice to Have
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
- Background in security engineering, information governance, or data privacy
- Familiarity with AI evaluation or data labeling workflows
Why Join Us
- Work directly on frontier AI systems with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Your expertise shapes how AI understands one of cybersecurity's most critical domains
- Potential for ongoing work and contract extension