Lawyer/Legal Writer
Quick facts
- Type
- Part-time
- Location
- Remote
- Skills
- Legal
- Platform
- Micro1 — 260 open jobs
- Typical pay at Micro1
- $25–150/hour · median $90 (17 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
pay
Required Skills
Technical Writing
Content Evaluation
Written Communication
Attention To detail
Critical Analysis
Editing
Digital Content Review Platforms
Independent Work
Virtual Collaboration
Legal Writing
Legal Drafting
Document Review
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
Role Title: Lawyer/Legal Writer
Role Type: Contractor
Location: Remote
micro1 is engaging Lawyer/Legal Writers to participate in an evaluation and analysis opportunity focused on advanced AI system development for a customer project. 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.
This is an evaluative engagement: you will assess and analyze written legal content, not provide legal advice or representation. There is no attorney-client relationship, and your professional judgment about written argument is the core value. The focus is on those skills lawyers employ daily — discerning whether writing is precise, properly qualified, pitched to the appropriate audience, and free from unwarranted overstatement. Recognizing confidently stated but unsupported writing is central to the project.
Scope of Work
Evaluate and compare multiple AI-generated written responses to legal and technical prompts for clarity, tone, and compliance with instructions.
Assign analytical quality scores and compose detailed rationales for each assessment.
Identify responses that sound authoritative but lack precision, contain overstatements, or present unsupported claims.
Detect inconsistencies, ambiguities, or factual inaccuracies in digital content.
Document findings and insights meticulously in online review platforms.
Collaborate asynchronously with project managers and reviewers to ensure consistent evaluation standards.
Work independently while managing deliverables and deadlines per project requirements.
Preferred Qualifications
English as a first language or fully equivalent written fluency.
Qualifying law degree from a university in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
Demonstrated experience drafting briefs, motions, memoranda, legal opinions, or regulatory submissions.
Background in reviewing, editing, or supervising legal writing by junior lawyers, trainees, or paralegals.
Strong ability to assess whether content is tailored appropriately for legal, regulatory, client, or public audiences.
Exceptional attention to detail, critical analysis, and written communication skills.
Experience with digital document review platforms or annotation tools is desirable; familiarity with model evaluation or RLHF is a plus but not required.
Email
By clicking any of the "Continue" buttons below, you acknowledge and agree to our Terms and Privacy Policy for candidates.
Continue
or
Continue with Google
Continue with LinkedIn
Have any questions? See FAQs
Refer and Earn
$500
About Micro1
micro1 recruits engineers and domain experts for AI labs using its AI interviewer. Once vetted, contractors work on human-data projects such as writing and checking model outputs or building coding evaluations.