About the Role
We're looking for experienced data security professionals to help train and evaluate cutting-edge AI systems. Your real-world knowledge of how data leaks happen — and how to stop them — will directly shape how AI reasons about sensitive information, policy violations, and data protection controls.
This is a rare opportunity to apply your security expertise in a new and meaningful way, contributing to frontier AI development without leaving the comfort of your home.
- Organization: Alignerr
- Type: Hourly Contract
- Commitment: 10–40 hours/week
- Location: Fully Remote
What You'll Do
- Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
- Classify data sensitivity levels, exposure paths, and policy violations with precision
- Evaluate prevention, detection, and incident response strategies for accuracy and completeness
- Generate, label, and validate data security cases used to train and benchmark AI models
- Help AI systems develop a nuanced, expert-level understanding of how sensitive information is exposed and protected
Who You Are
- 2+ years of experience in data security, compliance, security operations, or a related field
- Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
- Practical understanding of how data risk manifests in real-world enterprise environments
- Able to communicate complex security concepts clearly in written form
- Detail-oriented, self-motivated, and comfortable working independently
Nice to Have
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
- Background in security engineering, threat modeling, or incident response
- Familiarity with AI or data labeling workflows
Why Join Us
- Work directly on frontier AI systems built with the world's leading AI research labs
- Fully remote and asynchronous — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Your expertise shapes AI that millions of people will rely on
- Potential for ongoing work and contract extension