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Data Security & DLP Analyst
AlignerrMexico City, MexicoPosted 2w ago
Data Analyst
Job Description
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 data security professionals who understand how data leaks actually happen in the real world.
This is a unique opportunity to apply your expertise in DLP, data classification, and security operations to shape how AI systems reason about sensitive information risk. Your experience with real incidents, policy violations, and prevention strategies will directly influence the quality of next-generation AI models.
About The Role
We're partnering with the world's leading AI research labs to build smarter, safer AI — and we need data security professionals who understand how data leaks actually happen in the real world.
This is a unique opportunity to apply your expertise in DLP, data classification, and security operations to shape how AI systems reason about sensitive information risk. Your experience with real incidents, policy violations, and prevention strategies will directly influence the quality of next-generation AI models.
- 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 evaluate AI systems
- Apply your practical knowledge of how data risk plays out to help AI reason more accurately about these situations
- 2+ years of experience in data security, compliance, or security operations
- Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts
- Strong practical understanding of how sensitive data is exposed and protected in real environments
- Detail-oriented and able to communicate security concepts clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
- Background in GDPR, HIPAA, PCI-DSS, or other data privacy regulations
- Prior work in security operations centers (SOC), insider threat programs, or data governance
- Work directly on frontier AI systems with top-tier research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Your real-world security expertise makes a measurable difference in AI safety and quality
- Potential for ongoing work and contract extension