Data Security & DLP Analyst

Alignerr Corp.; Delhi; Remote; INR 1,240,000 - 2,066,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr Corp. is seeking an experienced Data Security & DLP Analyst (AI Training) to help train and evaluate AI systems. You will analyze data leakage scenarios, classify data sensitivity, and test prevention and detection strategies.

This remote hourly contract offers flexible hours (10–40 hours per week) and the opportunity to work with top AI research labs. Candidates should have hands-on DLP experience and strong written communication.

Qualifications

• Hands-on experience with data loss prevention tools and data classification frameworks.
• Understanding of privacy/regulatory concepts (GDPR, HIPAA, PCI-DSS).
• Experience applying data security practices to real-world enterprise environments.

Responsibilities

• Analyze data security and DLP scenarios across cloud, SaaS, and enterprise environments.
• Classify data sensitivity levels and exposure paths; identify policy violations.
• Review and evaluate prevention, detection, and incident response strategies.
• Generate, label, and validate data security cases for AI training and benchmarking.
• Provide structured expert feedback to improve AI reasoning about data risk.

Skills

DLP tools

Data classification

Privacy concepts

Security operations

Independent work

Job description

Data Security & DLP Analyst (AI Training)

About The Role

We're looking for experienced data security professionals to help train and evaluate cutting-edge AI systems. At Alignerr, we partner with the world's leading AI research labs — and we need people who understand how data leaks actually happen in the real world.

Your hands-on knowledge of DLP controls, data classification, and security operations will directly shape how AI reasons about sensitive information exposure, detection, and prevention. This is a rare opportunity to apply deep security expertise to one of the most consequential technology challenges of our time.

• 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
• Review and evaluate prevention, detection, and incident response strategies
• Generate, label, and validate data security cases used to train and benchmark AI systems
• Provide structured expert feedback that helps AI reason accurately about sensitive information risk

Who You Are

• 2+ years of experience in data security, compliance, or security operations
• Hands-on familiarity with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, PCI-DSS)
• Practical understanding of how data risk plays out in real enterprise environments
• Detail-oriented with strong written communication skills
• Self-motivated and comfortable working independently on task-based assignments

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tools
• Background in security engineering, incident response, or risk management
• Familiarity with AI evaluation or data labeling workflows

Why Join Us

• 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
• Make a meaningful impact on how AI handles sensitive data responsibly
• Potential for ongoing work and contract extension