Data Security
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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 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 flexible — 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 #J-18808-Ljbffr
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