What are the responsibilities and job description for the Data Security & DLP Analyst position at Alignerr?
Data Security & DLP Analyst (AI Training)
About The Role
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 experienced data security professionals who understand how data leaks actually happen — and can bring that real-world expertise to help shape how AI reasons about sensitive information risk.
This is a unique opportunity to apply your knowledge of DLP tools, data classification, and security operations to directly influence the next generation of AI systems.
About The Role
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 experienced data security professionals who understand how data leaks actually happen — and can bring that real-world expertise to help shape how AI reasons about sensitive information risk.
This is a unique opportunity to apply your knowledge of DLP tools, data classification, and security operations to directly influence the next generation of AI systems.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
- Classify data sensitivity levels, exposure pathways, and policy violations
- Evaluate prevention, detection, and incident response strategies for accuracy and completeness
- Generate, label, and validate realistic data security cases used to train and evaluate AI systems
- Provide expert feedback that helps AI models understand how sensitive information is exposed and protected in modern organizations
- 2 years of experience in data security, compliance, or security operations
- Solid familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
- Practical, hands-on understanding of how data risk plays out in real enterprise environments
- Strong analytical and written communication skills
- Comfortable working independently and asynchronously on task-based assignments
- Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
- Background in security engineering, information governance, or data privacy
- Familiarity with AI evaluation or data labeling 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
- Your expertise shapes how AI understands one of cybersecurity's most critical domains
- Potential for ongoing work and contract extension
Salary : $38 - $60