Data Security & DLP Analyst

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

Analyze and classify data security and DLP scenarios across cloud and enterprise environments to train AI systems. Evaluate incident response strategies and provide expert feedback to improve AI reasoning regarding sensitive information risk.

Requires 2+ years of hands-on experience in data security, compliance, or security operations. Candidates must be familiar with DLP tools, data classification frameworks, and regulatory requirements like GDPR or HIPAA.

• Autonomy • Flexible schedule • Collaboration with a global network of experts

Identified from the job description. Confirm important requirements above.

• Data Security
• Data Loss Prevention
• Data Classification
• Incident Response
• Cloud Security
• Compliance
• GDPR
• HIPAA
• CCPA
• SaaS Security
• Data Labeling
• Risk Assessment

• Security & Safety
• Technology
• Data & Analytics
• Software
• Consulting

Minimum education

Professional degree

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Seniority

Entry level