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Corporate Attorney (Corporate Transactions)

Review and annotate US corporate transaction documents, draft deal scenarios, and evaluate AI-generated legal content. This part-time contractor role pays $100 to $170 per hour equivalent, paid per task.

Apply now

How the AI interview works

  1. Apply here on OpenTrain. You create a free account, and we send you to the hiring platform.
  2. Complete your application on the hiring platform.
  3. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

What to expect

  • It is a conversational interview with an AI recruiter.
  • You can take it any time, from anywhere.
  • It asks open-ended technical questions based on the role, and scenario questions on how you think, solve problems and communicate.
  • You see right away whether you meet the certification criteria. If you do not, you can ask for feedback.
OpenTrain AI

Legal & Finance

Remote Per task · $100–$170/hr equivalent

$100–$170/hr

equivalent, paid per task

Compensation

Contract, part-time

Engagement

Remote

Location

Oct 3, 2026

Posted

Open to applicants in

United States

The work

You will help prepare training data for AI systems by applying practical US corporate law judgment to legal documents, generated content, and structured scenarios.

The work focuses on M&A, governance, securities, entity structuring, and private financings. You will explain legal reasoning clearly, identify risks and ambiguity, and apply the judgment expected in live deal work.

  • Review and annotate merger agreements, stock purchase agreements, operating agreements, bylaws, and financing documents.
  • Draft realistic corporate scenarios, deal hypotheticals, and research memos for model development.
  • Evaluate AI-generated corporate legal content for accuracy, clarity, and consistency with US corporate law.
  • Correct drafting issues and explain ambiguity, legal risk, and reasoning.
  • Help create guidelines and quality standards for corporate legal data.
  • Turn complex corporate legal principles into clear, structured formats for model training.

What it pays and takes

This is a remote, part-time contractor role for practitioners in the United States. Scheduling is flexible and will be confirmed for the engagement.

  • Pay: $100 to $170 per hour equivalent, paid per task.
  • Location: Open to candidates in the United States.
  • Language: Professional fluency in English.
  • Education: JD from an accredited US law school.
  • License: Active license to practice law in at least one US jurisdiction, in good standing.
  • Experience: 3 to 10 or more years of substantive corporate law experience in M&A, securities, corporate governance, commercial contracts, or private financings.
  • Practice background: Hands-on experience drafting and negotiating purchase agreements, financing documents, and governance instruments.
  • Professional experience: Work as a US corporate practitioner in a law firm, in-house, or independent setting.
  • Helpful background includes buy-side and sell-side M&A, in-house or general counsel work at a US company, judicial clerkship, law-journal editorial work, or teaching junior attorneys.
  • Prior AI experience is not required, but you must communicate legal reasoning clearly and apply careful judgment to complex corporate materials.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including reviewing documents, writing scenarios, and rating model responses. OpenTrain helps people find and build careers in this field by bringing projects together, supporting profiles, and helping candidates apply in minutes.

Requirements

  • Experience: Mid-Senior level
  • Languages: English

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