Data Security & DLP Analyst

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 data leaks *actually* happen in the real world.

Hourly Contract Remote Commitment: 10--40 hours/week

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models

Position Overview Hourly Contract Remote Commitment: 10--40 hours/week Job Overview Analyzing realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments Classifying data sensitivity levels, exposure paths, and policy violations Evaluating prevention, detection, and incident response strategies for accuracy and completeness Generating, labeling, and validating data security cases used to train and evaluate AI systems Providing structured expert feedback that helps AI reason correctly about sensitive information risk Who You Are 2 years of experience in data security, compliance, security operations, or a closely related field Practical familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts Solid understanding of how data risk plays out in real environments --- not just on paper Able to analyze scenarios critically and communicate your reasoning clearly in writing Self-motivated and comfortable working independently on asynchronous, task-based assignments Preferred

Experience with cloud security (AWS, Azure, GCP) or SaaS data governance

Familiarity with frameworks such as NIST, ISO 27001, GDPR, HIPAA, or CCPA Background in security consulting, incident response, or compliance auditing Prior experience contributing to AI training, annotation, or evaluation projects

Work directly on frontier AI systems alongside leading AI research labs Fully remote and flexible --- set your own hours and work at your own pace Freelance perks: autonomy, variety, and global collaboration Meaningful work that directly influences how AI handles sensitive information Potential for ongoing work and contract extension as projects evolve