Data Security & DLP Analyst

Job summary

Analyze data security and DLP scenarios, classify sensitive data and exposure risks, and assess prevention, detection, and incident response strategies. Create, label, and validate security cases to train and benchmark AI systems on data protection.

Job details

Data Security & DLP Analyst (AI Training) About The Role Your hands-on experience with data leaks, DLP controls, and security operations is exactly what's needed to make AI smarter about sensitive information risk. At Alignerr, we partner with the world's leading AI research teams to build and train frontier AI models — and we need security professionals who understand how data exposure actually happens in the real world. This is a rare opportunity to directly influence how AI reasons about data protection, privacy, and enterprise security — without leaving your home office. 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 based on real-world context Evaluate prevention, detection, and incident response strategies for accuracy and completeness Generate, label, and validate data security cases used to train and benchmark AI systems Help AI models develop a nuanced, expert-level understanding of how sensitive information is exposed and protected Who You Are 2+ years of experience in data security, compliance, security operations, or a related field Familiar with DLP tools, data classification frameworks, and privacy or regulatory requirements (e.g., GDPR, HIPAA, CCPA) Practical, real-world understanding of how data risk manifests across modern organizations Able to analyze scenarios critically and communicate findings clearly in writing Self-motivated and comfortable working independently on task-based assignments Nice to Have Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management Background in insider threat detection, CASB, or data governance programs Familiarity with AI workflows or data labeling environments Why Join Us Work directly on cutting-edge AI projects with top research labs and frontier AI teams Fully remote and flexible — structure your work around your life, not the other way around Freelance autonomy with the backing of a globally collaborative platform Apply your security expertise to a genuinely novel and high-impact problem space Potential for ongoing work and contract extension based on performance

What you’ll do

Analyze data security and DLP scenarios, classify sensitive data and exposure risks, and assess prevention, detection, and incident response strategies. Create, label, and validate security cases to train and benchmark AI systems on data protection.

Requirements

Applicants need at least two years of experience in data security, compliance, security operations, or a related field, along with familiarity with DLP tools, data classification, and privacy or regulatory requirements. They should understand real-world data risks, communicate findings clearly in writing, and work independently; cloud security, insider threat, CASB, data governance, or AI data-labeling experience is a plus.

Benefits

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

Listed skills

• written communication · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Security
• Data Loss Prevention (DLP)
• Data Classification
• Security Operations
• Privacy Compliance
• Regulatory Requirements
• Incident Response
• Risk Analysis
• Cloud Security
• SaaS Security
• Insider Threat Detection
• Cloud Access Security Broker (CASB)
• Data Governance
• Data Labeling
• Written Communication

Job areas

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

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