AI Summary
Analyze real-world data security scenarios, classify data sensitivity, and generate cases to train AI systems. 2+ years of data security experience required. Work remotely and directly impact AI's handling of sensitive information.
Key Highlights
Translate real-world data security knowledge into AI training cases
Classify data sensitivity levels and exposure paths across diverse use cases
Evaluate prevention, detection, and incident response strategies
Key Responsibilities
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels, exposure paths, and policy violations
Evaluate prevention, detection, and incident response strategies
Generate, label, and validate high-quality data security cases
Technical Skills Required
Benefits & Perks
Fully remote and flexible work schedule
Work directly on frontier AI systems with top research labs
Nice to Have
Experience with cloud security platforms or SaaS security tools
Background in security consulting, auditing, or incident response
Familiarity with AI or data labeling workflows
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
At Alignerr, we partner with the world's leading AI research labs to build and train the next generation of AI models. We're looking for experienced data security professionals who understand how data leaks actually happen — and can translate that real-world knowledge into training and evaluation cases for cutting-edge AI systems.
This is a unique opportunity to apply your expertise in DLP, data classification, and security operations in a way that directly shapes how AI reasons about sensitive information risk.
- 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 across diverse use cases
- Evaluate prevention, detection, and incident response strategies for accuracy and completeness
- Generate, label, and validate high-quality data security cases used to train and benchmark AI systems
- Apply your practical understanding of how data risk plays out in real-world organizations to improve AI reasoning
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
- Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
- Strong practical understanding of how sensitive data is exposed, mishandled, or exfiltrated across modern IT environments
- Ability to think critically about risk scenarios and articulate clear, structured reasoning
- Self-motivated and comfortable working independently on async, 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 tools
- Background in security consulting, auditing, or incident response
- Familiarity with AI or data labeling workflows
- Work directly on frontier AI systems with 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 handles sensitive information responsibly
- Potential for ongoing work and contract extension
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