AI Summary
We are seeking a Data Security and DLP Analyst to analyze data security and DLP scenarios, classify data sensitivity levels, and evaluate prevention, detection, and incident response strategies. This role requires 2+ years of experience in data security, compliance, or security operations. The ideal candidate will have a strong understanding of DLP tools, data classification frameworks, and privacy or regulatory concepts.
Key Highlights
Analyze realistic data security and DLP scenarios
Classify data sensitivity levels
Evaluate prevention, detection, and incident response strategies
Key Responsibilities
Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure paths, and policy violations
Generate, label, and validate data security cases used to train and benchmark AI systems
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule
Autonomy
Nice to Have
Experience with cloud security posture management (CSPM) or SaaS security tools
Background in security consulting, incident response, or compliance auditing
Familiarity with AI systems or data annotation workflows
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
Data breaches don't happen in textbooks — they happen in misconfigured S3 buckets, overshared SaaS drives, and overlooked email policies. We're looking for data security professionals who understand how sensitive information actually gets exposed, detected, and mishandled in the real world.
At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI models. In this role, your hands-on knowledge of DLP controls, data classification, and security operations will directly shape how AI systems reason about sensitive information risk — making them smarter, safer, and more effective.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic data security and DLP scenarios across 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
- Apply your practical expertise to help AI reason accurately about data risk
Interested in remote work opportunities in Cyber Security? Discover Cyber Security Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 2+ years of experience in data security, compliance, or security operations
- Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, CCPA, etc.)
- Strong practical understanding of how data risk plays out in real-world environments
- Able to work independently, manage your own time, and deliver quality work asynchronously
- Detail-oriented with clear written communication skills
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with cloud security posture management (CSPM) or SaaS security tools
- Background in security consulting, incident response, or compliance auditing
- Familiarity with AI systems or data annotation workflows
- Work directly on cutting-edge AI projects with leading research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Your real-world security expertise drives meaningful impact on how AI handles sensitive data
- Potential for ongoing work and contract extension
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