Part-Time AI Training Attorney — Corporate & M&A Expert

OpenTrain AI, Inc.

Northern (KY)

Hybrid

USD 193,000 - 482,000

Part time

10 days ago
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Job summary

OpenTrain AI, Inc. seeks experienced legal professionals for a part-time contractor role focused on turning professional legal judgment into training data.

You will work on corporate and commercial law matters, drafting, reviewing, and annotating transactional documents and litigation materials for AI systems. You will explain legal reasoning to both technical and non-technical colleagues, draft structured summaries, and identify ambiguities.

Qualifications

  • Minimum 3 years of relevant legal practice in mergers and acquisitions, corporate law, private equity, capital markets, or commercial litigation.
  • J.D. or international equivalent required.
  • Active bar membership or equivalent authorization to practice law required.
  • Strong analytical and communication skills for explaining legal reasoning to technical teams.

Responsibilities

  • Draft, review, and annotate transactional documents and litigation materials.
  • Analyze scenarios involving corporate and commercial matters for AI training data.
  • Summarize key facts, arguments, and issues in structured formats for AI training.
  • Find inconsistencies and explain why they matter in legal materials.
  • Review model outputs for accuracy, consistency, and usefulness.
  • Share clear legal reasoning with both technical and non‑technical specialists.

Skills

Legal analysis
Attention to detail
Synthesis of complex issues
Communication with technical audiences
AI data annotation

Education

J.D. or international equivalent

Job description

OpenTrain AI, Inc. seeks experienced legal professionals for a part-time contractor role focused on turning professional legal judgment into training data.

You will work on corporate and commercial law matters, drafting, reviewing, and annotating transactional documents and litigation materials for AI systems. You will explain legal reasoning to both technical and non-technical colleagues, draft structured summaries, and identify ambiguities.

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