Expert Work
Corporate Attorney
Status: Open
- Pay
- $140–$350/hr
- Location
- Remote
- Employment type
- Contractor
- Openings
- 100
- Posted
- 2026-09-17
About this opportunity
Role Title: Corporate Attorney
Role Type: Contractor
Location: Remote
micro1 is engaging Corporate Attorneys to contribute their expertise to a customer project focused on advancing the legal capabilities of next-generation AI systems. 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 engagement is especially attractive for legal professionals with a background in computer science, technical domains, or previous hands-on experience with AI/data annotation initiatives.
Scope of Work
- Analyze complex legal scenarios in mergers & acquisitions, private equity, and capital markets to develop high-fidelity data sets for AI training.
- Draft, review, and annotate legal documents to ensure accuracy and provide nuanced legal context for annotation tasks.
- Evaluate commercial litigation cases, distilling key facts and legal arguments for structured data representation.
- Assess and synthesize corporate law issues, offering expert insight into best practices and emerging trends.
- Collaborate with technical specialists to translate legal reasoning into structured insights that inform AI model development.
- Identify and flag inconsistencies or ambiguities in legal materials to help improve data quality and model reliability.
- Deliver detailed, precise feedback on model outputs, ensuring that legal nuance and real-world applicability are maintained.
Preferred Qualifications
- J.D. from an accredited institution and active bar membership (U.S. or international equivalent).
- Minimum of 3 years of experience as a practicing attorney in mergers & acquisitions, corporate law, commercial litigation, capital markets, or private equity.
- Proven attention to detail and ability to synthesize complex legal materials with clarity and precision.
- Demonstrated experience in drafting and reviewing transactional documents or litigation materials.
- Background in computer science, technical domains, or previous participation in AI/data annotation projects is strongly preferred.
- Ability to communicate legal reasoning for both technical and non-technical audiences.
- Strong analytical skills and a collaborative, solution-oriented mindset.
Required skills
- Mergers & Acquisitions
- Corporate law
- Commerical Litigation
- attention to detail
- private equity
- capital markets
What you'll do
- Analyze complex legal scenarios in mergers & acquisitions, private equity, and capital markets to develop high-fidelity data sets for AI training.
- Draft, review, and annotate legal documents to ensure accuracy and provide nuanced legal context for annotation tasks.
- Evaluate commercial litigation cases, distilling key facts and legal arguments for structured data representation.
- Assess and synthesize corporate law issues, offering expert insight into best practices and emerging trends.
- Collaborate with technical specialists to translate legal reasoning into structured insights that inform AI model development.
- Identify and flag inconsistencies or ambiguities in legal materials to help improve data quality and model reliability.
- Deliver detailed, precise feedback on model outputs, ensuring that legal nuance and real-world applicability are maintained.
Preferred qualifications
- J.D. from an accredited institution and active bar membership (U.S. or international equivalent).
- Minimum of 3 years of experience as a practicing attorney in mergers & acquisitions, corporate law, commercial litigation, capital markets, or private equity.
- Proven attention to detail and ability to synthesize complex legal materials with clarity and precision.
- Demonstrated experience in drafting and reviewing transactional documents or litigation materials.
- Background in computer science, technical domains, or previous participation in AI/data annotation projects is strongly preferred.
- Ability to communicate legal reasoning for both technical and non-technical audiences.
- Strong analytical skills and a collaborative, solution-oriented mindset.