Data Security & DLP Analyst

Alignerr is a technology-focused organization that appears to specialize in roles related to artificial intelligence and cybersecurity. The job titles suggest an emphasis on AI training, infrastructure development, and security operations, indicating potential involvement in areas such as machine learning model development, system architecture, and threat detection. While the exact nature of the company's business remains unspecified, the recurring presence of AI-related positions implies a strategic focus on integrating advanced technologies into secure and scalable systems. The inclusion of roles like Governance, Risk & Compliance Analyst and Vulnerability Management Analyst further points to an environment where regulatory adherence and risk mitigation are critical components of operations. Alignerr likely operates in a sector that requires robust technical expertise and compliance with industry standards.

Data Security & DLP Analyst (AI Training) About The Role We're partnering with leading AI research labs to build AI systems that truly understand data security — how sensitive information moves, where it gets exposed, and how organizations defend against it. If you've worked in data security or compliance and know how real-world data leaks actually happen, this is your opportunity to put that expertise to work shaping the next generation of AI. 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 paths, 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 systems Help AI models reason more accurately about sensitive information risk and DLP controls Who You Are 2+ years of experience in data security, compliance, information security, 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 identify nuanced exposure scenarios and articulate why they matter Detail-oriented with strong written communication skills Comfortable working independently and asynchronously Nice to Have Hands-on experience with DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Nightfall) Background in cloud security, insider threat detection, or security operations Familiarity with data governance or privacy engineering Experience writing security policies, incident reports, or compliance documentation Why Join Us Work directly on frontier AI systems with real-world security impact Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute expertise that makes AI safer and more trustworthy Potential for ongoing work and contract extension Show more