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Confidential

In-House Counsel for Legal AI Training

Nonantum, MA

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About this opportunity

Confidential lists this In-House Counsel for Legal AI Training opportunity in Nonantum, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Role Overview

Apply your technology transactions experience to improve how advanced AI systems handle real-world contract review, negotiation, and legal risk analysis. In this part-time contract role, you will help train and evaluate AI models through expert review of drafting, negotiation, and redlining workflows.

Key Responsibilities

Complete simulated contract negotiation and redlining exercises.

Review and assess AI responses to contract scenarios, providing detailed feedback to improve accuracy, precision, and legal judgment.

Create objective evaluation frameworks and grading criteria for AI contract tasks.

Partner with product and research teams to refine data, guidelines, and best practices for AI-driven contract review.

Qualifications

At least 3 years of in-house experience focused on technology transactions.

Demonstrated experience drafting, reviewing, negotiating, and redlining contracts, including MSAs, NDAs, ISDAs, and derivatives agreements.

Exceptional written and verbal communication skills and meticulous attention to detail.

Strong analytical skills and the ability to turn legal expertise into actionable feedback for AI systems.

Commitment to innovation at the intersection of law and technology.

Experience collaborating with cross-disciplinary teams in fast-paced environments.

Experience with AI, legal technology, or training initiatives is preferred.

Work Terms

Remote, part-time independent contractor engagement.

Work is completed on a task basis. Average handling time is approximately 3.5 hours per task.

Compensation

Target hourly compensation is $90 to $130 per hour.

Payment is task-based for completed work that meets project specifications. Effective hourly earnings depend on the number of tasks completed and approved.

Application Process

Apply through the available application process and acknowledge the applicable candidate terms and privacy policy.

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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