AI Summary
Partner with AI research labs to build smarter, safer AI systems. Analyze data security and DLP scenarios, classify data sensitivity levels, and evaluate prevention strategies. 2+ years of experience in data security, compliance, or security operations required.
Key Highlights
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels and exposure paths
Evaluate prevention, detection, and incident response strategies
Key Responsibilities
Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, and policy violations
Generate, label, and validate data security cases used to train and evaluate AI models
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule
Potential for ongoing work and contract extension
Nice to Have
Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
Background in security operations, incident response, or data governance
Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
We partner with the world's leading AI research labs to build smarter, safer AI systems — and we need people who truly understand how data leaks happen in the real world.
As a Data Security & DLP Analyst, you'll bring your hands-on security knowledge to a cutting-edge AI project. You'll work with realistic incidents, DLP scenarios, and enterprise controls to help AI systems reason accurately about sensitive information risk. Your expertise directly shapes how frontier AI understands data security.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- 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
- Generate, label, and validate data security cases used to train and evaluate AI models
- Provide structured, expert feedback that helps AI reason correctly about sensitive information risk
Interested in remote work opportunities in Cyber Security? Discover Cyber Security Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 2+ years of experience in data security, compliance, or security operations
- Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, CCPA, etc.)
- Practical, real-world understanding of how data risk plays out across modern organizations
- Able to think critically about exposure paths, control gaps, and detection logic
- Detail-oriented 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 platforms (AWS, Azure, GCP) or SaaS security tooling
- Background in security operations, incident response, or data governance
- Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
- Prior experience contributing to AI training or evaluation projects
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful contribution to how AI understands cybersecurity
- Potential for ongoing work and contract extension
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