AI Summary
Apply data security expertise to develop AI models that reason about sensitive information. Analyze cloud, SaaS, and enterprise data loss scenarios, classify sensitivity levels, and evaluate prevention strategies. Generate realistic cases for training AI systems with 2+ years of security operations experience.
Key Highlights
Partner with leading AI research labs to shape AI reasoning about sensitive data
Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
Generate, label, and validate cases for AI model training and evaluation
10–40 hours/week remote contract work with flexible scheduling
Key Responsibilities
Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
Classify data sensitivity levels, exposure pathways, and policy violations
Review and evaluate prevention, detection, and incident response strategies
Generate, label, and validate realistic data security cases used to train and evaluate AI models
Apply practical knowledge of how data risk unfolds in real organizational environments
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule
Freelance perks: autonomy, variety, global collaboration
Potential for ongoing work and contract extension
Nice to Have
Experience with cloud security platforms (AWS, Azure, GCP)
SaaS security tooling
Background in security operations, insider threat analysis, or data governance
Familiarity with AI evaluation or data labeling workflows
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
What if your data security knowledge could help build smarter, safer AI? At Alignerr, we partner with the world's leading AI research labs to develop frontier AI models — and we need experienced data security professionals to make it happen.
As a Data Security & DLP Analyst, you'll apply your real-world expertise in data loss prevention, classification, and incident response to shape how AI systems reason about sensitive information. Your hands-on experience with how data leaks actually happen is exactly what we need.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
- Classify data sensitivity levels, exposure pathways, and policy violations
- Review and evaluate prevention, detection, and incident response strategies
- Generate, label, and validate realistic data security cases used to train and evaluate AI models
- Apply your practical knowledge of how data risk unfolds in real organizational environments
Interested in remote work opportunities in Cyber Security? Discover Cyber Security Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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 and exposure play out in real-world environments
- Able to think critically and communicate findings in a clear, structured way
- Self-motivated and comfortable working independently on task-based assignments
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
- Background in security operations, insider threat analysis, or data governance
- Familiarity with AI evaluation or data labeling workflows
- Work directly on cutting-edge AI projects with top-tier research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful impact on how AI understands and handles sensitive data
- Potential for ongoing work and contract extension
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