Data Security & DLP Analyst

Alignerr Corp.; New York (NY); Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Alignerr is seeking a Data Security & DLP Analyst (AI Training) to help build safer AI models. The role focuses on data loss prevention, sensitivity labeling, and incident response, with hands-on work to train AI systems on realistic security cases.

You will work remotely on an hourly contract, contributing across cloud, SaaS, and enterprise environments while applying GDPR, HIPAA, and PCI-DSS knowledge to protect sensitive data.

Qualifications

• 2+ years of experience in data security, compliance, or security operations.
• Familiar with data loss prevention, data classification frameworks, and privacy/regulatory concepts (GDPR, HIPAA, PCI-DSS).
• Practical understanding of data risk in real environments and ability to communicate findings clearly.

Responsibilities

• Analyze realistic data security and DLP scenarios across cloud, SaaS, and enterprise contexts.
• Classify data sensitivity levels, exposure pathways, and policy violations.
• Review prevention, detection, and incident response strategies.
• Generate, label, and validate data security cases used to train AI models.
• Apply practical knowledge of how data risk unfolds in real organizations.

Skills

DLP tools

Data classification

Privacy concepts

Independent work

Tools

AWS

Azure

GCP

Job description

Data Security & DLP Analyst (AI Training)

About The Role

What if your data security knowledge could help build smarter, safer AI? At Alignerr, we partner with the world’s leading AI research labs to develop frontier AI models — and we need experienced data security professionals to make it happen.

As a Data Security & DLP Analyst, you'll apply your real-world expertise in data loss prevention, classification, and incident response to shape how AI systems reason about sensitive information. Your hands‑on experience with how data leaks actually happen is exactly what we need.

• 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
• Review and evaluate prevention, detection, and incident response strategies
• Generate, label, and validate realistic data security cases used to train and evaluate AI models
• Apply your practical knowledge of how data risk unfolds in real organizational environments

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 understanding of how data risk and exposure play out in real‑world environments
• Able to think critically and communicate findings in a clear, structured way
• Self‑motivated and comfortable working independently on task‑based assignments

Nice to Have

• Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security tooling
• Background in security operations, insider threat analysis, or data governance
• Familiarity with AI evaluation or data labeling workflows

Why Join Us

• Work directly on cutting‑edge AI projects with top‑tier 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 understands and handles sensitive data
• Potential for ongoing work and contract extension