About this opportunity
Confidential lists this In-House Counsel for Legal AI Training opportunity in Jamaica Plain, 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.