Data Security & DLP Analyst

Data Security & DLP Analyst (AI Training)
About the Role
We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for data security professionals who understand how real-world data leaks happen — and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments

• Classify data sensitivity levels, exposure paths, and policy violations

• Evaluate prevention, detection, and incident response strategies across a range of scenarios

• Generate, label, and validate data security cases used to train and evaluate AI systems

- Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected

• Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected

• 2+ years of experience in data security, compliance, or security operations

• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)

• Practical understanding of how data risk plays out in real-world environments — not just theory

• Able to clearly articulate security reasoning in written form

- Detail-oriented and comfortable working independently on task-based assignments

• Detail-oriented and comfortable working independently on task-based assignments

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls

• Background in security operations, incident response, or data governance

- Familiarity with AI training or data annotation workflows

• Familiarity with AI training or data annotation workflows

• Work directly on frontier AI systems alongside top research labs

• Fully remote and flexible — set your own hours and workload

• Freelance perks: autonomy, variety, and collaboration with a global expert community

• Apply your security expertise in a new and meaningful way

• Potential for ongoing work and contract extension