Data Security & DLP Analyst

Alignerr Corp.; Municipio de Rincón de los Sauces; Remote; ARS 1,653,000 - 3,582,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help train and evaluate AI systems on how sensitive information is exposed, detected, and protected. This remote freelance role offers flexible hours and direct impact on cutting-edge security research with top AI labs.

You will analyze real-world data security scenarios, classify risk, and assess prevention and incident response strategies while contributing to AI models' trustworthiness and accuracy.

Qualifications

• 2+ years of experience in data security, compliance, information security, or security operations.
• Familiarity with DLP tools and data classification frameworks; knowledge of privacy or regulatory concepts (GDPR, HIPAA, CCPA).
• Understanding of how data risk manifests in enterprise and cloud environments.
• Ability to work independently and deliver structured, high-quality analysis.
• Curiosity about AI and trustworthy AI development.

Responsibilities

• Analyze 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 data security cases for training and benchmarking AI models.
• Help AI systems develop accurate reasoning about sensitive information risk.

Skills

Data security

Compliance

Information security

Security operations

Tools

DLP tools

Data classification frameworks

Job description

Data Security & DLP Analyst (AI Training)

About The Role

We're looking for data security professionals to help train and evaluate frontier AI systems on how sensitive information is exposed, detected, and protected in the real world. At Alignerr, we partner with the world's leading AI research labs — and your hands-on knowledge of data loss prevention and information risk will directly shape how the next generation of AI reasons about security.

If you've spent time in security operations, compliance, or data protection and understand how data leaks actually happen in modern organizations, this is a rare opportunity to apply that expertise in a high-impact, flexible freelance role.

• 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 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 models
• Help AI systems develop accurate, nuanced reasoning about sensitive information risk

Who You Are

• 2+ years of experience in data security, compliance, information security, or security operations
• Practical familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
• Strong understanding of how data risk plays out in real enterprise and cloud environments
• Comfortable working independently and delivering structured, high-quality analysis
• Curious about AI and how it can be made more capable and trustworthy

Nice to Have

• Experience with specific DLP platforms (e.g., Microsoft Purview, Symantec DLP, Forcepoint, Zscaler)
• Background in cloud security, insider threat programs, or data governance
• Familiarity with AI evaluation or data labeling workflows

Why Join Us

• Work directly on cutting-edge AI projects with top research labs
• Fully remote and flexible — set your own schedule and work at your own pace
• Freelance autonomy with the opportunity to do meaningful, substantive work
• Collaborate with a global network of domain experts
• Potential for ongoing work and contract extension as new projects launch