Corporate Attorney

• 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.

• No prior experience in AI is required — your domain knowledge is what matters.

• 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.

Also listed: attention to detail.

Project and contracting process: micro1. Applications continue on the provider's website.