AI training contract
Litigation Attorney
Legal · USD 80-170 an hour. · 100 openings
Litigation Attorney is contract work for micro1, reviewing and correcting what AI models produce in legal. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 80 to USD 170 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, and Ethiopia. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: Litigation Strategy, Legal Writing, Issue Spotting, Legal Research, Civil Procedure.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Job Title: Litigation Attorney Job Type: Contractor Location: Remote Job Summary: We are seeking seasoned U.S.-licensed litigation attorneys for a part-time role at the forefront of legal AI. This opportunity is for accomplished practitioners who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work. We are especially interested in experienced litigators with deep expertise in legal research, writing, motion practice, and case strategy, as well as attorneys practicing in corporate, real estate, bankruptcy, or compliance. In this role, you will review, assess, and contribute to litigation-focused workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems analyze legal issues, construct arguments, and interpret case law and procedure, creating tools with improved precision and legal judgment. Key Responsibilities: Perform simulated litigation tasks such as issue spotting, legal analysis, and argument construction. Review and assess AI responses to litigation scenarios, providing expert feedback to improve model performance and output precision. Create objective evaluation frameworks and grading criteria to assess AI performance on legal tasks with rigor and consistency. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven legal solutions. Required Skills and Qualifications: J.D. from an ABA-accredited law school ( J.D. only ; no LL.M.-only or foreign-equivalent candidates). Active bar admission in at least one U.S. jurisdiction. Actively practicing attorney in litigation, corporate, real estate, bankruptcy, or compliance, with a strong preference for seasoned litigators. Exceptional written and verbal communication skills with meticulous attention to detail. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems. Experience working with cross-disciplinary teams in fast-paced environments. Preferred Qualifications: Judicial clerkship experience (federal or state). Legal instruction experience, such as teaching or lecturing at a law school. Law journal or law review editorial experience during law school. Prior exposure to AI, legal tech, or training initiatives. Why Join: This is an opportunity to work at the intersection of law and technology. You will help define how AI is developed for a new generation of legal practitioners. You will apply your experience in a high-impact research environment.
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Rate, openings and requirements checked 2026-10-19 against micro1's own public postings.