$166k-$270k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
Active license to practice law in the United States is preferred
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote contractor role contributing U.S. employment and labor law expertise to legal data annotation and AI training. Work includes reviewing legal materials, creating and refining annotation tasks, and providing feedback. An active U.S. law license and significant labor and workplace law experience are preferred; prior AI experience is not required.
Data, Legal, Product, Security
Eligible countries are not stated.
Timezone overlap is not stated.
Unspecified; significant experience is preferred · Contractor
- 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 marketLegal Expert (Employment & Labor Law) at micro1
Role Title: Legal Expert (Employment & Labor Law)
Role Type: Contractor
Location: Remote
micro1 is engaging Legal Experts (Employment & Labor Law) to contribute specialized knowledge to a customer-related initiative focused on legal data annotation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Professionals participating in this project will leverage their nuanced understanding of U.S. labor and workplace regulations to ensure the accuracy and relevance of annotation assignments addressing workplace disputes, wage and hour compliance, workplace investigations, agreements, and related statutory topics.
Scope of Work
Analyze and interpret a variety of legal documents and scenarios relating to labor and workplace matters.
Create, review, and refine annotation tasks designed to train AI models on complex legal issues, including workplace disputes and compliance requirements.
Evaluate and summarize agreements, policies, and investigation documentation for accuracy and regulatory alignment.
Identify key legal issues and ensure precise categorization and labeling of data on matters such as wage and hour compliance, workplace disputes, and employee benefits.
Collaborate with project managers and AI specialists to refine task guidelines and ensure data integrity.
Maintain up-to-date awareness of relevant U.S. laws, regulations, and industry best practices as they pertain to project deliverables.
Provide constructive written and verbal feedback to help enhance annotation quality and protocol clarity.
Preferred qualifications
Active license to practice law in the United States with significant experience in labor and workplace law.
Demonstrated expertise as a practitioner or counsel in matters involving workplace disputes, wage and hour issues, agreements, and investigations.
Prior experience in legal analysis, litigation, or compliance advisory roles within the field of U.S. workplace regulation.
Exceptional written and verbal communication skills, with a strong attention to detail in documentation and review.
Proven ability to interpret and categorize complex legal information for non-legal audiences.
Familiarity with legal data annotation, e-discovery, or legal technology initiatives is a plus.
Commitment to maintaining confidentiality and exercising sound professional judgment throughout all project assignments.
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.