Corporate Law AI Training Attorney (Part-Time, US)

OpenTrain AI, Inc.; United States; Hybrid; USD 138,000 - 248,000; Part time

Job summary

OpenTrain AI, Inc. seeks a US-based legal practitioner for contract-based, part-time work to review and annotate training data tied to corporate law. You will draft scenarios, assess accuracy, and explain drafting issues with reference to US corporate law.

Required: a JD from a US law school, active license, and 3–10+ years of corporate law experience. Pay ranges from $100–$180 per hour, with 20+ hours per week and contractor status.

Qualifications

• 3 to 10+ years of substantive corporate law experience.
• Drafting and negotiating purchase agreements, financing documents, and governance instruments.
• Active license to practice law in at least one US jurisdiction.

Responsibilities

• Review and annotate merger agreements, stock purchase agreements, operating agreements, bylaws, and financing documents.
• Draft corporate law scenarios, deal hypotheticals, and research memos involving M&A, governance, securities, and entity structuring.
• Evaluate AI-generated corporate legal content for accuracy, clarity, and consistency with US corporate law.
• Correct errors and explain ambiguity, legal risk, and drafting issues using judgement from live deal work.
• Help create guidelines and quality standards for corporate legal training data.
• Turn complex corporate legal principles into clear, structured formats for AI training.

Skills

Legal judgment

Corporate law experience

English proficiency

Education

JD from an accredited US law school

Job description

The Work

You will help create and review training data for AI systems using practical US corporate law judgment. The work covers transactional documents, realistic deal scenarios, and AI-generated legal content.

• Review and annotate merger agreements, stock purchase agreements, operating agreements, bylaws, and financing documents.
• Draft realistic corporate scenarios, deal hypotheticals, and research memos involving M&A, governance, securities, and entity structuring.
• Evaluate AI-generated corporate legal content for accuracy, clarity, and consistency with US corporate law.
• Correct legal errors and explain ambiguity, legal risk, and drafting issues using judgment from live deal work.
• Help create guidelines and quality standards for corporate legal training data.
• Turn complex corporate legal principles into clear, structured formats for AI model training.

What It Pays And Takes

This is a part-time contractor opportunity for a US-based legal practitioner. The role is listed at entry level and requires substantial corporate law experience, along with the qualifications below.

• Pay: $100 to $170 per hour equivalent, paid per task.
• Work type: Part-time contract work.
• Location: Open to candidates in the United States.
• Language: Professional fluency in English.
• Education: JD from an accredited US law school.
• Licensure: Active license to practice law in at least one US jurisdiction, in good standing.
• Experience: 3 to 10+ years of substantive corporate law experience in areas such as M&A, securities, corporate governance, commercial contracts, or private financings.
• Required practical experience: Drafting and negotiating purchase agreements, financing documents, and governance instruments.
• Required judgment: Ability to assess legal accuracy, identify risk, and communicate clear written reasoning.
• Helpful background: Buy-side and sell-side M&A experience, in-house or general counsel work at a US company, a judicial clerkship, law journal editorial work, or experience teaching or training junior attorneys.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work is the human side of building AI systems. People review documents and model responses, write examples, and explain errors so models can produce more accurate results; specialized legal judgment is needed for work like this. OpenTrain helps people find these roles, build a profile, and apply in one place.