Corporate Transactions AI Training Attorney

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI recruits and contracts specialists for projects that help improve how modern artificial intelligence systems understand, reason about, and generate information.

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About AI Training Work

AI training is the human side of building artificial intelligence. Expert contributors review examples, assess model outputs, explain their reasoning, and create high-quality feedback that helps AI systems become more accurate and useful.

This role brings advanced legal judgment into that process. Your analysis of contracts, corporate documents, deal structures, and litigation materials will help guide the development of AI systems working with nuanced legal content.

• Remote work that can fit around other professional commitments

• Flexible contractor work with a minimum commitment of 20 hours per week

• An opportunity to apply specialized legal expertise to cutting-edge AI development

The Role

OpenTrain is seeking a Corporate Transactions AI Training Attorney to provide expert legal analysis for AI training work. You will review complex corporate documents, contracts, transaction structures, and commercial litigation materials, then communicate the legal principles, reasoning, and drafting considerations that should guide high-quality model outputs.

The role is listed as entry level in the project data, but it requires substantial and current legal experience. Candidates must hold an active US law license and have current or recent top-tier BigLaw experience in corporate transactions or related commercial litigation.

• Engagement type: Part-time contractor

• Time requirement: 20+ hours per week

• Pay range: $140 to $400 USD per hour

• Primary language: English

• Work style: Remote and asynchronous

What You’ll Do

You will analyze nuanced legal materials and provide structured feedback that can be used in legal AI training datasets. The work requires careful issue spotting, strong written explanations, and consistent application of review rubrics and quality expectations.

You will collaborate asynchronously with project managers and internal reviewers while maintaining high standards for accuracy, clarity, and alignment with US legal practice.

• Analyze corporate documents, contracts, and deal structures involving mergers and acquisitions, private equity, and capital markets

• Assess nuanced legal scenarios and identify important legal principles and procedural details in commercial litigation materials

• Provide expert feedback on legal reasoning, issue spotting, drafting approaches, and interpretation of legal instruments

• Annotate, categorize, and explain key corporate-law issues for legal AI training datasets

• Apply project rubrics and quality standards consistently

• Communicate complex legal judgments clearly in written form

Requirements

An active license to practice law in the United States is required. You should have current or recent experience, within the last three years, at a top-tier BigLaw firm and substantial expertise in corporate law, mergers and acquisitions, private equity, capital markets, commercial litigation, or other high-value transactional matters.

The project supports applicants in the countries specified in its eligibility settings. US legal licensure remains a core requirement regardless of location.

• Active US license to practice law

• Recent top-tier BigLaw experience in corporate transactions or related commercial litigation

• Judgment in analyzing mergers and acquisitions, private equity, and capital-markets documents

• Ability to identify legal principles and procedural details in commercial litigation materials

• Experience drafting, reviewing, and negotiating complex agreements and legal instruments

• Exceptional attention to detail and strong written communication skills

• Ability to explain legal reasoning, issue spotting, and drafting decisions clearly

Helpful Background

Prior experience with legal data annotation or rubric-based review is useful but not required. Previous AI experience is also not necessary. Strong legal judgment and the ability to explain sophisticated legal concepts clearly are the most important qualifications.

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