Data Protection & GDPR Expert

Posted 72d ago

Posted by Karokan

karokan.ai

€110–180/hr

Legal RemoteAdvisory

4 hired this month

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Role Overview

Support deployment architecture reviews, documentation, and compliance posture for sensitive AI systems under GDPR and the AI Act.

Karokan is working with AI labs and deployment teams across Europe to contract high-judgment specialists who can improve model quality through reliable human input. This role is designed for experts who can translate nuance into structured outputs, work with clear evaluation rules, and contribute directly to the performance of production AI systems.

You will operate in a fully remote setting, collaborate asynchronously, and help shape datasets, reviews, and decision layers that support the next generation of AI products. The work is intentionally rigorous: accuracy, consistency, and written reasoning matter more than generic throughput.

Key Responsibilities

Review AI system architecture for GDPR and AI Act compliance
Author DPIAs and data processing impact documentation
Support client-facing governance workshops and compliance audits

Ideal Qualifications

5+ years in data protection law or compliance
CIPP/E, CIPM, or equivalent certification preferred

Fluent in French, client-facing communication skills

More About The Opportunity

Expected commitment: 2 days / week
Work arrangement: Advisory
Location coverage: Remote
Languages relevant to this scope: French
Weekly payout reference: €3.0k

Contract And Payment Terms

You will be engaged as an independent contractor.
This is a remote role that can be completed on a flexible schedule within project expectations.
Project duration, scope, and throughput can expand or contract depending on team needs and performance.
Payments are issued weekly against approved work delivered.
Final onboarding may require location and contractor eligibility checks before activation.

About Karokan

Karokan partners with AI labs and enterprises across Europe to place high-performance talent into evaluation, research, and deployment workflows. The focus is practical: faster hiring, stronger human judgment, and more reliable AI systems built with people who understand the work in depth.