Remote Litigation and Transactional Attorney for AI Training

OpenTrain AI, Inc.

United States

Remote

USD 193,000 - 551,000

Part time

12 hours ago
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Job summary

OpenTrain AI, Inc. is seeking a Litigation Associate Attorney for a remote, part-time contractor role. You will review litigation documents, contracts, and scenarios to help train AI systems, with a focus on complex legal analysis and precise written feedback.

Qualifications include a JD from a US law school, active US bar admission, and experience at a top law firm. Compensation is hourly, reflecting expertise and performance, with flexible scheduling.

Qualifications

  • JD from a US law school.
  • Active US bar admission in good standing.
  • Experience at AmLaw 100 or similarly prestigious firm.
  • Knowledge of M&A, private equity, capital markets, contract drafting, and data privacy.
  • Strong research, analytical, writing and communication skills.
  • Ability to collaborate remotely with interdisciplinary teams.

Responsibilities

  • Review and analyze complex litigation documents.
  • Review transaction contracts and other legal materials.
  • Draft sample agreements and legal clauses.
  • Evaluate legal scenarios and provide structured written commentary.
  • Help develop legal frameworks, rubrics, and training data.
  • Collaborate with cross-functional teams to improve materials.

Skills

M&A
Private equity
Capital markets
Contract drafting
Data privacy
Legal research
Analytical thinking
Written communication
Attention to detail
Remote collaboration

Education

JD from a US law school

Job description

OpenTrain AI, Inc. is seeking a Litigation Associate Attorney for a remote, part-time contractor role. You will review litigation documents, contracts, and scenarios to help train AI systems, with a focus on complex legal analysis and precise written feedback.

Qualifications include a JD from a US law school, active US bar admission, and experience at a top law firm. Compensation is hourly, reflecting expertise and performance, with flexible scheduling.

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