Commercial Contracts Attorney — M&A Diligence & AI Training
Join OpenTrain as a Commercial Contracts Attorney to review and annotate M&A diligence documents and help train AI tools used by transaction teams; part-time contract work at $90–$100/hr, 20+ hours/week, remote and worldwide. Bring 5+ years of commercial contract and VDR experience plus a JD and act
Legal & Finance
100% Remote Hourly · $90–$100/hr
$90–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jul 17, 2026
Posted
Open worldwide
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OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help skilled professionals find contract work, consolidate opportunities, and build a single portfolio that demonstrates their experience training and improving AI systems.
OpenTrain is the hiring and contracting organization for this role; contributors work directly on annotation and training projects that shape how AI behaves across industries.
About AI Training Work
AI training (also called data labeling or human feedback) is the human side of building modern AI. Contributors prepare, review, and explain real-world examples so models learn correct legal judgment and practical outcomes.
This work is often 100% remote, flexible, and accessible to experienced professionals who want part-time contract work that directly influences state-of-the-art tools used by deal teams.
The Role
You will review complex commercial agreements in M&A diligence workflows and produce structured annotations and written rationales that improve AI outputs for transaction professionals.
The focus includes commercial leases and related contract types; your practical judgment will be used to separate material contract risk from boilerplate and to evaluate severity in realistic deal scenarios.
What You'll Do
Review complex commercial agreements within M&A diligence workflows and virtual data rooms.
Identify and annotate provisions such as change-of-control, assignment, termination, exclusivity, MFN, indemnification, and renewal.
Differentiate material contract risk from standard boilerplate and explain your reasoning in concise written analysis.
Deliver structured written feedback and summaries to support AI systems used by transaction and deal teams.
Evaluate severity of issues in realistic M&A transactions and apply practical, transaction-focused judgment.
Requirements
This role requires 5+ years of commercial contract drafting, negotiation, or diligence review and extensive experience reviewing contracts in virtual data rooms during live M&A transactions.
You must hold a JD with active bar membership or an equivalent legal qualification, and demonstrate strong written and verbal communication skills.
Experience identifying deal-risk provisions including change-of-control, assignment, and termination mechanics.
Experience conducting or managing diligence at a major firm or in managed review.
Ability to produce clear written analysis distinguishing material risk from boilerplate.
English language proficiency required.
Helpful Background
While not required, preferred experience includes commercial contract annotation, familiarity with SaaS or technology commercial agreements, and exposure to contract analytics tools.
Attention to detail in structured review work and a track record of explaining complex legal risk concisely are strong advantages.
Time, Compensation, and Engagement
This is a contract, part-time role estimated at 20+ hours per week. Pay is on an hourly basis at USD 90–100 per hour.
OpenTrain will engage you as a contractor on the project; work is remote and available worldwide. Assignment types include document annotation, entity NER/classification, evaluation rating, and text summarization for legal documents.
How to Apply and What to Expect
If this fits your background, apply through OpenTrain to be considered for the project. You will complete test annotations and provide sample written rationales so we can verify accuracy and judgment before assignment.
As a contractor you will receive task instructions, annotation templates, and example rationales; projects emphasize consistent, high-quality written explanations that help train AI used by deal teams.
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