Corporate Governance & M&A legal processes - AI Trainer

Required Skills

Law

Job Description

Job Title: Corporate Governance & M&A Legal Processes - AI Trainer

Job Type: Contract (Full-time or Part-time)

Location: Remote (US Based)

Pay: $180 per hour

Job Summary:

Join our customer's team as a pivotal Corporate Governance & M&A Legal Processes - AI Trainer, where your specialized legal expertise will shape the future of AI in the legal domain. In this groundbreaking role, you will leverage your knowledge and communication prowess to train advanced AI models, setting new standards for legal technology.

Key Responsibilities:

• Design and curate high-quality training materials focused on corporate governance and M&A legal processes for use in AI model training.
• Collaborate with AI engineers and data scientists to identify knowledge gaps and implement effective legal data strategies.
• Annotate, review, and validate complex legal datasets to enhance the accuracy and utility of AI-driven legal solutions.
• Translate sophisticated legal concepts into structured data and accessible language for machine learning models.
• Conduct quality assurance checks on AI outputs, ensuring compliance with US law and industry standards.
• Contribute thought leadership by staying updated on legal developments in corporate governance and M&A, integrating this knowledge into the AI training process.
• Communicate frequently and clearly via written and verbal channels, ensuring seamless collaboration with multidisciplinary teams.

Required Skills and Qualifications:

• PhD or Master's degree in Law
• Extensive experience and deep understanding of corporate governance and M&A legal processes in the US context.
• Exceptional written and verbal communication skills, with a strong emphasis on detail and clarity.
• Demonstrated ability to simplify complex legal topics for non-legal audiences and technological applications.
• Experience collaborating within remote, cross-functional teams.
• Proficiency in analyzing, summarizing, and annotating legal documents for educational or data-driven purposes.