Data Security & DLP Analyst

Job summary

Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments, assessing data sensitivity, exposure paths, policy violations, and protective strategies. Create, label, and validate security cases and provide structured expert feedback to train and benchmark AI systems.

Job details

Data Security & DLP Analyst (AI Training) About The Role We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need security professionals who understand how data leaks actually happen. As a Data Security & DLP Analyst, you'll work with realistic incidents, enterprise controls, and sensitive data scenarios to help train and evaluate frontier AI systems. Your hands-on experience is exactly what AI needs to reason better about data risk, exposure paths, and protective controls. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do 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 Generate, label, and validate data security cases used to train and benchmark AI systems Provide structured expert feedback that directly shapes how AI models reason about sensitive information risk Who You Are 2+ years of hands-on experience in data security, compliance, or security operations Familiar with DLP tools, data classification frameworks, and privacy or regulatory requirements (e.g., GDPR, HIPAA, CCPA) Strong practical understanding of how data risk plays out in real-world enterprise environments Ability to think critically about exposure scenarios and articulate clear, structured reasoning Self-motivated and comfortable working independently on task-based assignments Nice to Have Experience with cloud security (AWS, Azure, GCP) or SaaS environments Background in security operations, insider threat programs, or data governance Familiarity with AI systems or data labeling workflows Relevant certifications such as CISSP, CISM, CIPP, or CompTIA Security+ Why Join Us Work directly on frontier AI systems with top research labs around the world Fully remote and flexible — set your own schedule and work at your own pace Freelance perks: autonomy, variety, and collaboration with a global network of experts Apply your real-world security expertise to meaningful, intellectually engaging work Potential for ongoing work and contract extension

What you’ll do

Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments, assessing data sensitivity, exposure paths, policy violations, and protective strategies. Create, label, and validate security cases and provide structured expert feedback to train and benchmark AI systems.

Requirements

Applicants need at least two years of hands-on experience in data security, compliance, or security operations, along with familiarity with DLP tools, data classification frameworks, and privacy or regulatory requirements. They should be able to assess real-world enterprise data risks, communicate structured reasoning, and work independently; cloud security, data governance, AI labeling, and relevant certifications are advantageous.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Potential for Ongoing Work and Contract Extension

Listed skills

• Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Security
• Data Loss Prevention (DLP)
• Data Classification
• Security Operations
• Compliance
• Privacy Regulations
• Incident Response
• Exposure Risk Analysis
• Cloud Security
• SaaS Security
• Data Governance
• Insider Threat Analysis
• AI Data Labeling
• Structured Reasoning

Job areas

• Security & Safety
• Technology
• Data & Analytics
• Science & Research

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