Senior Tax Law AI Evaluation Specialist (Remote)

Gramian Consulting Group

Oregon

Hybrid

USD 120,000 - 180,000

Full time

7 days ago
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Job summary

Gramian Consultancy seeks experienced U.S.-licensed attorneys with tax law expertise to support training and evaluation of AI systems. You will analyze tax law scenarios, review AI-generated analyses and documents, and provide structured feedback to improve accuracy and completeness. This role requires strong legal judgment, excellent written English, and the ability to interpret complex legal issues.

Prior AI experience is not required. Location: Remote — United States only; JD from a U.S.

Qualifications

  • J.D. from a U.S. law school and active license to practice law in at least one state.
  • More than 3 years of substantive legal practice, ideally in tax law.
  • Ability to explain complex legal concepts clearly in writing.

Responsibilities

  • Analyze tax law scenarios, identify key issues, assess risks and apply judgment.
  • Review AI-generated legal analyses, arguments, and documents for accuracy.
  • Identify gaps, missing information, and weaknesses in legal reasoning.
  • Evaluate federal and state tax laws to complex factual scenarios.
  • Provide structured feedback to improve AI outputs with clear corrections.
  • Maintain high attention to detail and professional judgment.

Skills

Legal reasoning
Issue spotting
Legal document review
Written English communication
Independent work

Education

Juris Doctor (J.D.) degree from a U.S. law school

Job description

Gramian Consultancy seeks experienced U.S.-licensed attorneys with tax law expertise to support training and evaluation of AI systems. You will analyze tax law scenarios, review AI-generated analyses and documents, and provide structured feedback to improve accuracy and completeness. This role requires strong legal judgment, excellent written English, and the ability to interpret complex legal issues.

Prior AI experience is not required. Location: Remote — United States only; JD from a U.S.

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