AI Summary
Analyze data security and DLP scenarios, classify data sensitivity levels, and generate data security cases to train AI systems. 2+ years of experience in data security, compliance, or a related field. Familiar with DLP tools and data classification frameworks.
Key Highlights
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels and policy violations
Generate data security cases to train AI systems
Key Responsibilities
Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, and policy violations based on real-world context
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
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible work arrangement
Potential for ongoing work and contract extension
Nice to Have
Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management
Background in insider threat detection, CASB, or data governance programs
Familiarity with AI workflows or data labeling environments
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
Your hands-on experience with data leaks, DLP controls, and security operations is exactly what's needed to make AI smarter about sensitive information risk. At Alignerr, we partner with the world's leading AI research teams to build and train frontier AI models — and we need security professionals who understand how data exposure actually happens in the real world.
This is a rare opportunity to directly influence how AI reasons about data protection, privacy, and enterprise security — without leaving your home office.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
- Classify data sensitivity levels, exposure paths, and policy violations based on real-world context
- 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
- Help AI models develop a nuanced, expert-level understanding of how sensitive information is exposed and protected
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- 2+ years of experience in data security, compliance, security operations, or a related field
- Familiar with DLP tools, data classification frameworks, and privacy or regulatory requirements (e.g., GDPR, HIPAA, CCPA)
- Practical, real-world understanding of how data risk manifests across modern organizations
- Able to analyze scenarios critically and communicate findings clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management
- Background in insider threat detection, CASB, or data governance programs
- Familiarity with AI workflows or data labeling environments
- Work directly on cutting-edge AI projects with top research labs and frontier AI teams
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the backing of a globally collaborative platform
- Apply your security expertise to a genuinely novel and high-impact problem space
- Potential for ongoing work and contract extension based on performance
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