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. Generate, label, and validate security cases to train and benchmark AI systems on sensitive information and data protection.

Job details

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 frontier AI models. We're looking for data security professionals who understand how real data leaks happen — and can bring that knowledge to one of the most consequential technology challenges of our time. Your expertise in DLP controls, data classification, and security operations will directly shape how AI systems reason about sensitive information, exposure risk, and data protection. This is a rare opportunity to apply deep security knowledge in a cutting-edge AI context — on your own schedule, from anywhere. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments Classify data sensitivity levels, exposure paths, and policy violations with precision Evaluate prevention, detection, and incident response strategies for real-world applicability Generate, label, and validate data security cases used to train and benchmark AI systems Help AI models develop accurate, nuanced understanding of how sensitive information risk plays out in modern organizations Who You Are 2+ years of experience in data security, compliance, security operations, or a related field Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA) Practical, hands-on understanding of how data risk manifests in real enterprise environments Strong analytical thinking and ability to communicate complex scenarios in structured, clear formats Self-motivated and comfortable working independently on task-based assignments Nice to Have Experience with cloud security platforms (AWS, GCP, Azure) or SaaS security controls Background in security engineering, GRC, or insider threat programs Familiarity with AI workflows or data annotation projects Why Join Us Work directly on frontier AI systems built with top research labs Fully remote and flexible — set your own hours and work at your own pace Freelance perks: autonomy, variety, and global collaboration Put your real-world security expertise to work on problems that matter Potential for ongoing work and contract extension

What you’ll do

Analyze data security and DLP scenarios, classify sensitive data and exposure risks, and assess prevention, detection, and incident response strategies. Generate, label, and validate security cases to train and benchmark AI systems on sensitive information and 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 concepts such as GDPR, HIPAA, or CCPA. They should understand enterprise data risks, communicate complex scenarios clearly, and work independently; cloud or SaaS security, GRC, insider threat, or AI data annotation experience is an advantage.

Benefits

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

Listed skills

• Microsoft Azure · Preferred
• Analytical · Preferred
• precision · Preferred
• Organization · Preferred
• Training · Preferred
• Collaboration · Preferred
• Attention to detail · Preferred
• Compliance · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Flexible · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Loss Prevention (DLP)
• Data Classification
• Data Security
• Security Operations
• Privacy and Regulatory Compliance
• Risk Analysis
• Incident Response
• Cloud Security
• SaaS Security
• Security Engineering
• Governance, Risk, and Compliance (GRC)
• Insider Threat Programs
• Data Annotation
• Analytical Thinking
• Structured Communication

Job areas

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

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