WFH.teamOpen app$166k-$312k
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Decision details from the source listing
J.D. from an ABA-accredited law school; LL.M.-only and foreign-equivalent candidates are not accepted.
unspecified
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What this posting tells you
Remote, part-time contract opportunity for actively practicing attorneys, with preference for seasoned litigators, to review and evaluate litigation-focused AI workflows. Requires an ABA-accredited J.D. and active bar admission in at least one U.S. jurisdiction. Compensation and eligible remote work locations are not stated.
Data, Education, Legal, Product, Security, Writing and content
Eligible countries are not stated.
Timezone overlap is not stated.
Experienced · contract · part-time
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Data hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketLitigation Attorney at 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.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.