Data Security
Há 2 dias
Brasil
Alignerr
Remoto
Tempo integral
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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 experienced data security professionals to help teach AI how sensitive information is exposed, detected, and protected in the real world. This is a rare opportunity to apply your hands-on knowledge of DLP, data classification, and security operations to directly shape the next generation of AI systems — on your own schedule, from anywhere.
• Organization: Alignerr
• Type: Hourly Contract
•
Location:
Remote
• Commitment: 10–40 hours/week
What You'll Do
• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure paths, and policy violations
• Evaluate prevention, detection, and incident response strategies
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Help AI reason accurately about how sensitive information risk plays out in modern organizations 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 (GDPR, HIPAA, PCI-DSS, etc.)
• Practical, hands-on understanding of how data leaks and security failures occur in real environments
• Detail-oriented with strong written communication skills
• Comfortable working independently and asynchronously Nice to Have
• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in compliance, risk management, or incident response
• Familiarity with AI training or evaluation workflows Why Join Us
• Work directly on frontier AI systems with top research labs
• Fully remote and flexible — set your own hours and workload
• Freelance perks: autonomy, variety, and global collaboration
• Your real-world expertise drives meaningful impact on how AI handles sensitive data
• Potential for ongoing work and contract extension
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 experienced data security professionals to help teach AI how sensitive information is exposed, detected, and protected in the real world. This is a rare opportunity to apply your hands-on knowledge of DLP, data classification, and security operations to directly shape the next generation of AI systems — on your own schedule, from anywhere.
• Organization: Alignerr
• Type: Hourly Contract
•
Location:
Remote
• Commitment: 10–40 hours/week
What You'll Do
• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise environments
• Classify data sensitivity levels, exposure paths, and policy violations
• Evaluate prevention, detection, and incident response strategies
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Help AI reason accurately about how sensitive information risk plays out in modern organizations 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 (GDPR, HIPAA, PCI-DSS, etc.)
• Practical, hands-on understanding of how data leaks and security failures occur in real environments
• Detail-oriented with strong written communication skills
• Comfortable working independently and asynchronously Nice to Have
• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in compliance, risk management, or incident response
• Familiarity with AI training or evaluation workflows Why Join Us
• Work directly on frontier AI systems with top research labs
• Fully remote and flexible — set your own hours and workload
• Freelance perks: autonomy, variety, and global collaboration
• Your real-world expertise drives meaningful impact on how AI handles sensitive data
• Potential for ongoing work and contract extension