Every job listed here is analyzed by our AI to identify worldwide hiring — not just “remote in the US.” Our classification is actively being improved, some results may be inaccurate.
Worldwide Remote
Jobs reviewed for worldwide hiring.
Real Hiring Data
Country flags show the countries where each company has team members
Updated Hourly
Fresh jobs synced from thousands of career pages
Data Security & DLP Analyst (AI Training) About The Role We're looking for data security professionals to help train and evaluate frontier AI systems on how sensitive information is exposed, detected, and protected in the real world. At Alignerr, we partner with the world's leading AI research labs — and your hands-on knowledge of data loss prevention and information risk will directly shape how the next generation of AI reasons about security. If you've spent time in security operations, compliance, or data protection and understand how data leaks actually happen in modern organizations, this is a rare opportunity to apply that expertise in a high-impact, flexible freelance role. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Analyze realistic data security and DLP scenarios across 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 models Help AI systems develop accurate, nuanced reasoning about sensitive information risk Who You Are 2+ years of experience in data security, compliance, information security, or security operations Practical familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA) Strong understanding of how data risk plays out in real enterprise and cloud environments Comfortable working independently and delivering structured, high-quality analysis Curious about AI and how it can be made more capable and trustworthy Nice to Have Experience with specific DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Zscaler) Background in cloud security, insider threat programs, or data governance Familiarity with AI evaluation or data labeling workflows Why Join Us Work directly on cutting-edge AI projects with top research labs Fully remote and flexible — set your own schedule and work at your own pace Freelance autonomy with the opportunity to do meaningful, substantive work Collaborate with a global network of domain experts Potential for ongoing work and contract extension as new projects launch