Remote In-House Counsel – AI & Tech Contracts

RemoteJobsOne; Amsterdam; Remote; EUR 110,000 - 159,000; Part time

Job summary

RemoteJobsOne in the Netherlands seeks an experienced In-House Counsel for a part-time, fully remote contractor role focused on technology transactions and AI-driven contract review. You will draft, review, negotiate MSAs, NDAs, ISDAs and derivatives, and contribute to AI training and evaluation workflows.

You will collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review, providing feedback to improve model performance and risk

Qualifications

• Minimum of 3 years of in-house experience focused on technology transactions.
• Experience negotiating MSAs, NDAs, ISDAs and derivatives.
• Excellent written and verbal communication with meticulous attention to detail.
• Ability to translate legal expertise into actionable feedback for AI systems.
• Experience working with cross-disciplinary teams in fast-paced environments.

Responsibilities

• Perform simulated contract negotiations and redlining exercises.
• Review and assess AI responses to contract scenarios, providing expert feedback.
• Create objective evaluation frameworks and grading criteria to assess AI performance.
• Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

Skills

In-House experience

Tech transactions

MSA negotiations

NDA negotiations

ISDA & Derivatives

Strong communication

Analytical skills

AI/Legal tech exposure

Job description

RemoteJobsOne in the Netherlands seeks an experienced In-House Counsel for a part-time, fully remote contractor role focused on technology transactions and AI-driven contract review. You will draft, review, negotiate MSAs, NDAs, ISDAs and derivatives, and contribute to AI training and evaluation workflows.

You will collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review, providing feedback to improve model performance and risk