Data Security & Dlp Analyst

Data Security & DLP Analyst (AI Training)At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We’re looking for data security professionals who understand how data leaks actually happen - and can help AI systems reason about sensitive information risk the way a seasoned practitioner would.This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: *** hours/weekWhat You’ll DoAnalyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environmentsClassify data sensitivity levels, exposure paths, and policy violationsEvaluate prevention, detection, and response strategies for effectivenessGenerate, label, and validate real-world data security cases used to train and evaluate AI systemsHelp AI models reason accurately about how sensitive information is exposed and protected in modern organizationsWho You Are2+ years of experience in data security, compliance, or security operationsFamiliar with DLP tools, data classification frameworks, and privacy or regulatory concepts (GDPR, HIPAA, PCI-DSS, etc.)Practical understanding of how data risk plays out in real enterprise environmentsAble to think critically and communicate findings clearly in writingDetail-oriented and comfortable working independently on task-based assignmentsNice to HaveHands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint)Background in cloud security, insider threat programs, or incident responseFamiliarity with AI evaluation or data annotation workflowsWhy Join UsWork directly on frontier AI systems with top research labsFully remote and flexible - work on your own scheduleFreelance perks: autonomy, variety, and global collaborationMake a meaningful contribution to how AI understands and handles sensitive dataPotential for ongoing work and contract extension#J-***-Ljbffr

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, PCI-DSS, etc.) Practical understanding of how data risk plays out in real enterprise environments Able to think critically and communicate findings clearly in writing Detail-oriented and comfortable working independently on task-based assignments Nice to Have Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint) Background in cloud security, insider threat programs, or incident response Familiarity with AI evaluation or data annotation workflows

Work directly on frontier AI systems with top research labs Fully remote and flexible - work on your own schedule Freelance perks: autonomy, variety, and global collaboration Make a meaningful contribution to how AI understands and handles sensitive data Potential for ongoing work and contract extension #J-*****-Ljbffr

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We’re looking for data security professionals who understand how data leaks actually happen - and can help AI systems reason about sensitive information risk the way a seasoned practitioner would. This is a unique opportunity to apply your real-world security expertise to frontier AI development, working remotely on your own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: ***** hours/week What You’ll Do 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 response strategies for effectiveness Generate, label, and validate real-world data security cases used to train and evaluate AI systems Help AI models reason accurately about how sensitive information is exposed and protected in modern organizations