Data Security
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We're looking for experienced data security professionals to help train and evaluate frontier AI systems. Your real-world knowledge of how data leaks happen — and how they're stopped — will directly shape how AI reasons about sensitive information risk. This is a unique opportunity to apply your security expertise beyond traditional roles, contributing to AI that needs to understand DLP controls, exposure paths, and data protection strategies the way a seasoned practitioner does.
About The Role
- 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 for accuracy and completeness
- Generate, label, and validate data security cases used to train and benchmark AI systems
- Provide expert judgment on how sensitive information risk plays out in real-world contexts
Who You Are
- 2+ years of experience in data security, compliance, or security operations
- 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 surfaces in modern enterprise and cloud environments
- Able to think through edge cases, ambiguous scenarios, and realistic threat patterns
- Strong written communication — you can clearly explain your reasoning
Nice to Have
- Experience with cloud security xuezdbg (AWS, Azure, GCP) or SaaS data governance
- Background in security operations, incident response, or compliance auditing
- Familiarity with AI or data labeling workflows
Why Join Us
- Work directly on cutting-edge AI projects with leading research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Apply deep security expertise to a genuinely novel and high-impact problem
- Potential for ongoing work and contract extension
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