Alignerr

Data Security & DLP Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Security & DLP Analyst (AI Training) for a remote hourly contract of 10–40 hours/week, requiring 2+ years in data security, familiarity with DLP tools, and knowledge of compliance standards. Experience with cloud security platforms is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
April 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Security #Security #SaaS (Software as a Service) #Classification #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Azure #Compliance #Cloud #GDPR (General Data Protection Regulation)
Role description
Data Security & DLP Analyst (AI Training) About The Role At Alignerr, we partner with the world's leading AI research labs to build smarter, safer AI systems. We're looking for experienced data security professionals to help train and evaluate AI that reasons about sensitive information, data leakage, and protection controls. This is a unique opportunity to apply your real-world security knowledge to frontier AI — analyzing how data leaks happen, how they're detected, and how organizations respond. Your expertise directly shapes how the next generation of AI understands data risk. • 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 • Generate, label, and validate data security cases used to train and benchmark AI systems • Apply your practical knowledge to help AI reason accurately about data risk in real-world contexts Who You Are • 2+ years of experience in data security, compliance, or security operations • Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory standards • Strong practical understanding of how sensitive data is exposed and protected in real environments • Detail-oriented with the ability to analyze complex scenarios and articulate clear findings • Self-motivated and comfortable working independently on a flexible schedule Nice to Have • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools • Background in compliance frameworks such as GDPR, HIPAA, or SOC 2 • Familiarity with AI systems or data annotation workflows Why Join Us • Work directly on cutting-edge AI projects with top research labs • Fully remote and flexible — work on your schedule, at your own pace • Freelance perks: autonomy, variety, and collaboration with a global team • Make a meaningful impact on how AI handles sensitive data and security reasoning • Potential for ongoing work and contract extension