Train AI on Legal Reasoning.
The models shaping the future of AI are only as rigorous as the legal experts behind them. Apply your expertise where it matters, and get paid to do it.



John
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This is not busywork.
The most advanced language models still hallucinate case holdings, misapply standards of review, and invent statutory provisions. You're the legal filter that catches what machines can't — one annotation at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short legal reasoning assessment. We evaluate your ability to identify flawed arguments, apply correct standards, and distinguish good law from bad. No resume required — your analysis speaks.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of strength. Constitutional law, contracts, torts, IP, criminal law, regulatory — you choose what fits.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear specifications and a defined scope. Payment is per-task, processed weekly, starting at $50/hour.
What you'll actually do.
Write a prompt
Craft precise legal prompts designed to probe the boundaries of model reasoning — not trivia, but questions that expose flawed legal analysis, misapplied doctrines, and invented authorities.

Review AI output
Evaluate model-generated solutions line by line. Identify logical gaps, missed edge cases, and incorrect theorem applications.

Write the correct solution
Author a complete, rigorous solution that demonstrates the correct reasoning path. This becomes a training signal.

Where models need you most.
These are the areas where current AI systems consistently struggle. Your expertise directly addresses the hardest open problems in legal reasoning.
Constitutional & Administrative Law
Evaluate AI reasoning about fundamental rights, separation of powers, judicial review standards, and administrative agency authority. Verify claims about precedent, standards of scrutiny, and constitutional interpretation.
Contract & Commercial Law
Review model outputs on contract formation, UCC provisions, breach remedies, and commercial transactions. Catch misapplied doctrines, confused consideration analysis, and incorrect damage calculations.
Criminal Law & Procedure
Assess AI-generated analysis of criminal elements, defenses, and procedural protections. Verify mens rea classifications, constitutional criminal procedure, and the interaction between substantive and procedural rules.
Tort & Civil Liability
Evaluate reasoning about negligence standards, strict liability, causation chains, and damages. Identify misapplied duty analyses, confused proximate cause tests, and errors in comparative fault calculations.
Intellectual Property & Regulatory
Review model outputs on patent, copyright, and trademark doctrines, as well as regulatory compliance frameworks. Verify fair use analyses, obviousness determinations, and regulatory interpretation.
A selective community of experts.
Work alongside writers, lawyers, health professionals, coders, professors, and bilingual experts shaping the future of AI.
Legal tasks completed weekly
Active legal contributors
Law schools represented
Built for people who think in precedent.
Law Students
JD and LLM candidates with strong doctrinal foundations and legal writing skills.
Practicing Attorneys
Licensed attorneys looking for flexible, intellectually engaging work outside billable hours.
Legal Academics
Law professors, fellows, and researchers applying scholarly analysis to AI training data.
Judicial Clerks
Current or former clerks with experience in legal research, opinion drafting, and case analysis.
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You’ll work on tasks that help AI perform better—like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
You’ll work on projects that improve AI systems, such as reviewing responses, checking accuracy, refining prompts, ranking outputs, and validating model behavior.
Projects include data labeling, annotation, evaluation, and quality review across text, images, and structured tasks—focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact.
This is a flexible, task-based contractor role. There is no long-term commitment required, and you can work as much or as little as you choose.
Available projects vary but commonly include prompt evaluation, response ranking, factual accuracy checks, domain-specific review, and structured annotation tasks.
Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is remote, asynchronous work focused on output quality rather than hours logged. Performance is evaluated based on contribution quality and consistency.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.
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