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.

• 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.

• Minimum of 3 years of experience as a practicing attorney in mergers & acquisitions, corporate law, commercial litigation, capital markets, or private equity.

Work arrangement: Fully remote