Data annotation job
Attorney
DataAnnotation · Posted 1 week ago
- Legal
- AI evaluation
- LLM training
- Writing
About this role
Overview
Models produce fluent legal analysis that is often subtly wrong: invented citations, misapplied precedent, and jurisdictional confusion. A plausible wrong answer in law has real consequences.
As an Attorney you'll grade AI legal reasoning against the standard of a careful practitioner and write the analysis the model should have produced.
What you’ll actually do
- Draft prompts that test how models handle contracts, statutes, procedure, and case analysis.
- Review AI output for invented citations, misapplied precedent, and jurisdictional errors, and rate the reasoning.
- Write the correct analysis when the model falls short, with the clarity of a well-drafted memo.
Roles this fits
Common backgrounds: Attorney, Associate Attorney, Legal Counsel.
What we look for
- JD or equivalent, with practice experience or strong academic background.
- Sharp legal research and writing skills across at least one practice area.
- Clear written English: your explanations are the training signal.
Compensation
$75 to $125+/hr depending on task difficulty and specialization. Many contributors add $10k to $100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Terms
- Engagement: Independent contractor
- Hours: Flexible hours
- Location: Remote
- Payouts: Weekly
This listing is aggregated by DataAnnotationJobs.org. Applications are processed by DataAnnotation, not by this site.
DataAnnotation hires remote contractors to train and evaluate AI models, from generalist review work to specialist tracks in coding, law, medicine, and finance. Its own site reports more than 100,000 contributors and over $150M paid out to date. See all DataAnnotation jobs.
Apply for this role
Your details first, then a short screening test. Both are read as part of your application and go to DataAnnotation, and we will tell you when similar roles appear.