Litigation Attorney AI Reviewer (Contract, Remote US)
Use your litigation experience to evaluate AI‑generated briefs, memos, and arguments and provide detailed written feedback; $100–$150/hr, 20+ hours/week, US‑licensed attorneys only. Remote, part‑time contractor role with OpenTrain AI shaping legal model behavior.
Legal & Finance
Remote Hourly · $100–$150/hr
$100–$150/hr
Compensation
1 country
Eligibility
Entry
Experience
Jun 30, 2026
Posted
Open to applicants in
United States
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OpenTrain is the #1 platform for building careers in AI training and data labeling. We help legal professionals find, manage, and grow freelance AI training opportunities in one place so your proof of work and reputation travel with you.
For this role, OpenTrain AI is hiring and contracting directly — you will join a distributed team of expert reviewers who shape how next‑generation legal models understand litigation practice.
About AI training work in law
AI training (data labeling and human feedback) is the human side of building intelligent systems. Legal reviewers teach models what correct legal analysis, citation practice, and professional drafting look like by evaluating outputs and providing corrective guidance.
This work is remote and flexible, often part‑time and asynchronous, and gives attorneys a way to apply litigation expertise to a fast‑growing technology field while earning competitive hourly rates.
The role
As a Litigation Attorney AI Reviewer you will evaluate AI‑generated legal writing — including briefs, arguments, and memos — for factual and legal accuracy, analytical rigor, and adherence to professional standards.
You will provide clear, written critiques that flag errors, inconsistencies, citation problems, and weak reasoning, and you may draft or edit sample language to help models learn stronger litigation drafting and argumentation.
What you'll do
Review AI‑generated legal responses for accuracy, rigor, and professional quality.
Provide detailed written feedback on errors, inconsistencies, and weak reasoning.
Apply litigation experience to resolve ambiguous or complex legal edge cases.
Draft or edit sample legal language and arguments for model training.
Collaborate asynchronously and communicate clearly in writing.
Requirements
This role requires a U.S. law license and demonstrable litigation experience; OpenTrain verifies credentials for quality and compliance.
JD from an ABA‑accredited U.S. law school.
Active U.S. bar membership in good standing.
Litigation, trial, or appellate practice experience.
Excellent legal writing and precise written communication.
Ability to review AI‑generated legal writing for accuracy and rigor.
Clerkships, law journal editing, publishing, or teaching are a plus.
Who should apply
Licensed U.S. litigators who enjoy close legal editing, quality control, and mentoring a model through written feedback. Candidates may include early‑career litigators, appellate attorneys, and trial lawyers who want flexible, remote contract work.
Pay, schedule, and logistics
Compensation is hourly at $100–$150 per hour. This is a contract, part‑time role requiring 20+ hours per week and is open to applicants located in the United States who hold an active U.S. bar license.
Work is primarily asynchronous and text‑based (you will evaluate and rate text outputs). Assignments use evaluation/rating labels and written feedback to guide model improvement.
Employment type: Contractor, Part‑time.
Work type: Remote; US only.
Data type: Text; label type: Evaluation/Rating.
Time requirement: 20+ hours/week.
How it works and how to apply
Create an OpenTrain account, complete your profile with your bar and education details, and submit your application for this role. Successful applicants will be asked to verify credentials and complete onboarding guidance for reviewer workflow and quality standards.
Once onboarded you will receive assignments you can complete asynchronously; detailed instructions and templates help standardize feedback so your legal judgment is captured effectively for model training.
Prepare to verify ABA‑accredited JD and active U.S. bar membership during onboarding.
Onboarding includes instructions on rating conventions, feedback format, and confidentiality.
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