Join OpenTrain to evaluate and annotate AI-generated U.S. legal responses using structured rubrics; requires a J.D. and 3+ years of U.S. practice or teaching. Flexible part-time contract (10–30 hrs/week), ~1 month with possible extension.
Legal & Finance
100% Remote
Worldwide
Eligibility
Entry
Experience
Jul 17, 2026
Posted
Open worldwide
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OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help contributors discover projects, build a unified AI-training portfolio, and grow a durable freelance career working on the human side of AI.
OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free and is the first step to apply.
About AI training work
AI training (also called data labeling or human feedback) is how people teach models to reason, write, and follow rules. For legal work, contributors review model outputs, spot errors, and give structured feedback so models learn to apply legal principles more reliably.
This is remote, flexible, and accessible work that directly shapes how state-of-the-art legal assistants behave. No prior AI experience is required — your legal expertise is the qualification.
The role
As a U.S. Legal AI Training Expert you will review, evaluate, and annotate AI-generated legal responses across multiple U.S. law topics. Your analyses and written feedback will be used to fine-tune language models and to set performance benchmarks for legal reasoning.
You will work as a contractor on a part-time, remote basis and collaborate with project leads and researchers to align evaluation standards and improve rubric design.
What you'll do
Hands-on evaluation and annotation using structured legal rubrics; provide clear written feedback so researchers can improve model outputs.
Review AI-generated responses to U.S. legal hypotheticals and score them using the project rubric.
Assess issue spotting, accuracy, legal reasoning, and application of law across practice areas.
Identify gaps, edge cases, and systemic blind spots in model reasoning.
Provide detailed annotations and written feedback to inform model improvements.
Collaborate with project leads and researchers to align evaluation standards and resolve ambiguities.
Requirements
This role requires demonstrated legal training and practice in U.S. law; strong written communication and ethical standards are essential.
Juris Doctor (J.D.) from an accredited U.S. law school.
Active or inactive bar admission in the United States.
3+ years of U.S. legal practice or teaching experience.
Strong legal reasoning across core areas of U.S. law and excellent attention to detail.
Clear written communication and high ethical standards; interest in AI is a plus.
Schedule, duration, and compensation
This is a remote, part-time contract role. The project runs roughly one month with possible extension based on performance and needs. Specific pay details are not provided in this listing.
Flexible commitment: 10–30 hours per week (time expectation noted on the listing: 20+ hours/week).
Project duration: approximately 1 month, with potential extension.
Employment types: Contractor, Part-time.
How to apply and who should apply
If you hold a J.D. and have the required U.S. legal experience, this role is a fit whether you are in private practice, in-house, or teaching. Prior AI work isn't required; your legal judgment and writing matter most.
To apply, create a free OpenTrain account, complete your profile, and submit your application through the platform. Project leads will review applications and contact selected candidates with next steps.
Languages required: English.
Work type: remote, contract, part-time.
Data type you will label: text (evaluation ratings and text-generation review).
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