Lawyer (JD) - AI trainer

Required Skills

Job Description

Job Title: Lawer (JD) - AI Trainer


Job Type: Part-time, Contract


Location: Remote


Job Summary:

Join our customer's team as a Lawer (JD) - AI trainer and play a pivotal role in advancing the legal reasoning capabilities of next-generation AI systems. You will leverage your legal expertise to challenge and refine the abilities of sophisticated AI models, shaping the future of legal technology through impactful collaboration.


Key Responsibilities:

  • Develop complex, domain-specific legal questions designed to thoroughly assess AI model capabilities.
  • Create comprehensive rubrics to systematically evaluate model responses, ensuring clarity and alignment with legal standards.
  • Craft scenarios that push the boundaries of AI comprehension, targeting performance levels where frontier models like GPT-5 score 40% or lower.
  • Provide detailed written and verbal feedback to guide model improvement and training strategies.
  • Collaborate with the AI training team to refine evaluation frameworks and share subject matter expertise.
  • Review and enhance peer-generated content for accuracy, challenge, and instructional value.
  • Stay updated on advancements in AI and legal technology, contributing insights to the project roadmap.


Required Skills and Qualifications:

  • Juris Doctor (JD) or equivalent advanced law degree.
  • Exceptional written and verbal communication skills, with a strong emphasis on clarity and legal precision.
  • Demonstrated expertise in legal analysis, scenario drafting, and domain-specific reasoning.
  • Proven ability to create challenging legal content that tests advanced understanding.
  • Experience working remotely and independently in a collaborative environment.
  • High attention to detail and commitment to quality, especially in developing assessment rubrics.
  • A passion for cutting-edge AI innovation and its intersection with law.


Preferred Qualifications:

  • Experience in AI-assisted legal content creation, evaluation, or training.
  • Familiarity with frontier AI models and the unique challenges they present in legal domains.
  • Background in legal education, assessment, or related academic work.

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