Job Description & How to Apply Below
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 data security professionals who understand how sensitive information is exposed, mishandled, and protected in the real world.
This is a unique opportunity to apply your hands-on security expertise to a high-impact problem: teaching AI systems to reason accurately about data risk, DLP controls, and information security scenarios. Your real-world knowledge directly shapes how frontier AI understands and responds to data security challenges.
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 pathways, and policy violations
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
Apply your practical understanding of how data risk plays out across modern organizations
Who You Are
2+ years of experience in data security, compliance, security operations, or a related field
Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
Practical understanding of how sensitive data moves, leaks, and gets exposed in real environments
Strong written communication skills and ability to document findings clearly
Self-motivated and comfortable working independently on task-based assignments
Nice to Have
Experience with cloud security (AWS, Azure, GCP) or SaaS security posture management
Background in security policy development, risk assessment, or data governance
Familiarity with frameworks like NIST, ISO 27001, or CIS Controls
Prior exposure to AI, machine learning, or data annotation workflows
Why Join Us
Work directly on frontier AI systems alongside world-class research teams
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that makes AI safer and more security-aware
Potential for ongoing work and contract extension
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