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Data Security & DLP Analyst
AlignerrToronto, Ontario, CanadaPosted 1d ago
Data Analyst
Job Description
Data Security & DLP Analyst (AI Training)
About The Role
Your hands-on experience with data leaks, DLP controls, and security operations is exactly what's needed to make AI smarter about sensitive information risk. At Alignerr, we partner with the world's leading AI research teams to build and train frontier AI models — and we need security professionals who understand how data exposure actually happens in the real world.
This is a rare opportunity to directly influence how AI reasons about data protection, privacy, and enterprise security — without leaving your home office.
About The Role
Your hands-on experience with data leaks, DLP controls, and security operations is exactly what's needed to make AI smarter about sensitive information risk. At Alignerr, we partner with the world's leading AI research teams to build and train frontier AI models — and we need security professionals who understand how data exposure actually happens in the real world.
This is a rare opportunity to directly influence how AI reasons about data protection, privacy, and enterprise security — without leaving your home office.
- 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 paths, and policy violations based on real-world context
- 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 develop a nuanced, expert-level understanding of how sensitive information is exposed and protected
- 2+ years of experience in data security, compliance, security operations, or a related field
- Familiar with DLP tools, data classification frameworks, and privacy or regulatory requirements (e.g., GDPR, HIPAA, CCPA)
- Practical, real-world understanding of how data risk manifests across modern organizations
- Able to analyze scenarios critically and communicate findings clearly in writing
- Self-motivated and comfortable working independently on task-based assignments
- Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management
- Background in insider threat detection, CASB, or data governance programs
- Familiarity with AI workflows or data labeling environments
- Work directly on cutting-edge AI projects with top research labs and frontier AI teams
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the backing of a globally collaborative platform
- Apply your security expertise to a genuinely novel and high-impact problem space
- Potential for ongoing work and contract extension based on performance