Priority

AI Governance Lead — Enterprise Deployment

Posted 7d ago

Posted by Karokan

karokan.ai

€140–210/hr

HybridFrenchGerman

4 hired this month

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Role Overview

Drive AI Act readiness, governance design, vendor review, and deployment control frameworks for a Fortune 500 enterprise rollout.

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

Lead AI Act readiness assessment and gap analysis
Design governance architecture and oversight processes
Present to C-suite and board-level stakeholders on AI risk posture

Ideal Qualifications

8+ years in AI governance, legal, or enterprise risk management
Direct experience structuring AI Act compliance programs

Bilingual French/German at professional level

More About The Opportunity

Expected commitment: 3 days / week
Work arrangement: Advisory
Location coverage: Hybrid
Languages relevant to this scope: French, German
Weekly payout reference: €4.8k

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.

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