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 for training and benchmarking AI systems.

Job details

Data Security & DLP Analyst (AI Training) About The Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for data security professionals who understand how sensitive information is exposed, mishandled, and protected in the real world. This is a unique opportunity to apply your hands-on security expertise to a high-impact problem: teaching AI systems to reason accurately about data risk, DLP controls, and information security scenarios. Your real-world knowledge directly shapes how frontier AI understands and responds to data security challenges. 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 pathways, and policy violations 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 Apply your practical understanding of how data risk plays out across modern organizations Who You Are 2+ years of experience in data security, compliance, security operations, or a related field Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA) Practical understanding of how sensitive data moves, leaks, and gets exposed in real environments Strong written communication skills and ability to document findings clearly 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 security policy development, risk assessment, or data governance Familiarity with frameworks like NIST, ISO 27001, or CIS Controls Prior exposure to AI, machine learning, or data annotation workflows Why Join Us Work directly on frontier AI systems alongside world-class research teams Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that makes AI safer and more security-aware 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. Create, label, and validate security cases for training and benchmarking AI systems.

Requirements

Requires at least two years of experience in data security, compliance, security operations, or a related field, along with practical familiarity with DLP tools, data classification, and privacy or regulatory concepts. Candidates should understand how sensitive data is exposed and handled, communicate findings clearly, and work independently; cloud security, governance frameworks, and AI data annotation experience are advantageous.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Global Collaboration
• 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
• Risk Assessment
• Incident Response
• Cloud Security
• SaaS Security
• Security Policy Development
• Data Governance
• NIST
• ISO 27001
• CIS Controls
• Data Annotation

Job areas

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

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