AI Summary
Analyze realistic data security and DLP scenarios, classify data sensitivity levels, and generate training materials for AI systems. 2+ years of experience in data security, compliance, or security operations required. Familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts.
Key Highlights
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels
Generate training materials for AI systems
Key Responsibilities
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels
Evaluate prevention, detection, and incident response strategies
Generate, label, and validate data security cases
Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected
Technical Skills Required
Benefits & Perks
Fully remote and flexible
Autonomy, variety, and collaboration with a global expert community
Potential for ongoing work and contract extension
Nice to Have
Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls
Background in security operations, incident response, or data governance
Familiarity with AI training or data annotation workflows
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for data security professionals who understand how real-world data leaks happen — and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.
- 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
- Evaluate prevention, detection, and incident response strategies across a range of scenarios
- Generate, label, and validate data security cases used to train and evaluate AI systems
- Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected
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 (e.g., GDPR, HIPAA, CCPA)
- Practical understanding of how data risk plays out in real-world environments — not just theory
- Able to clearly articulate security reasoning in written form
- 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 controls
- Background in security operations, incident response, or data governance
- Familiarity with AI training or data annotation workflows
- Work directly on frontier AI systems alongside top research labs
- Fully remote and flexible — set your own hours and workload
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Apply your security expertise in a new and meaningful way
- Potential for ongoing work and contract extension
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