

Alignerr
Data Security & DLP Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Security & DLP Analyst on an hourly contract, remote, requiring 10–40 hours/week. Key skills include 2+ years in data security, familiarity with DLP tools, and understanding of GDPR, HIPAA, and cloud security platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
480
-
🗓️ - Date
April 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Security #Security #SaaS (Software as a Service) #Classification #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Data Governance #Azure #Compliance #Cloud #GDPR (General Data Protection Regulation)
Role description
Data Security & DLP Analyst (AI Training)
About The Role
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 real-world data leaks happen — and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 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 incident response strategies across a range of scenarios
• Generate, label, and validate data security cases used to train and evaluate AI systems
• Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected
Who You Are
• 2+ years of experience in data security, compliance, or security operations
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
• Practical understanding of how data risk plays out in real-world environments — not just theory
• Able to clearly articulate security reasoning in written form
• Detail-oriented and comfortable working independently on task-based assignments
Nice to Have
• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls
• Background in security operations, incident response, or data governance
• Familiarity with AI training or data annotation workflows
Why Join Us
• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — set your own hours and workload
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Apply your security expertise in a new and meaningful way
• Potential for ongoing work and contract extension
Data Security & DLP Analyst (AI Training)
About The Role
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 real-world data leaks happen — and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.
This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 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 incident response strategies across a range of scenarios
• Generate, label, and validate data security cases used to train and evaluate AI systems
• Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected
Who You Are
• 2+ years of experience in data security, compliance, or security operations
• Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
• Practical understanding of how data risk plays out in real-world environments — not just theory
• Able to clearly articulate security reasoning in written form
• Detail-oriented and comfortable working independently on task-based assignments
Nice to Have
• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls
• Background in security operations, incident response, or data governance
• Familiarity with AI training or data annotation workflows
Why Join Us
• Work directly on frontier AI systems alongside top research labs
• Fully remote and flexible — set your own hours and workload
• Freelance perks: autonomy, variety, and collaboration with a global expert community
• Apply your security expertise in a new and meaningful way
• Potential for ongoing work and contract extension



