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Confidential

Corporate Attorney for AI Training

Hewlett, NY

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About this opportunity

Confidential lists this Corporate Attorney for AI Training opportunity in Hewlett, New York. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Apply corporate legal expertise to help train next-generation AI systems using high-quality, real-world legal analysis. This remote contract engagement is suited to attorneys who can translate complex legal reasoning into precise, structured insights for technical and non-technical audiences. No prior AI experience is required.

Key Responsibilities Analyze complex mergers and acquisitions, private equity, and capital markets scenarios to develop high-fidelity AI training datasets.

Draft, review, and annotate legal documents, providing accurate and nuanced legal context.

Evaluate commercial litigation matters and distill material facts and legal arguments into structured representations.

Assess and synthesize corporate law issues, including best practices and emerging trends.

Collaborate with technical specialists to convert legal reasoning into insights that support AI model development.

Identify inconsistencies and ambiguities in legal materials to improve data quality and model reliability.

Provide detailed feedback on model outputs while maintaining legal nuance and real-world applicability.

Qualifications J.D. from an accredited institution and active bar membership in the United States or an international equivalent.

At least 3 years of practicing-attorney experience in mergers and acquisitions, corporate law, commercial litigation, capital markets, or private equity.

Demonstrated experience drafting and reviewing transactional documents or litigation materials.

Exceptional attention to detail and the ability to synthesize complex legal material clearly and precisely.

Strong analytical, collaborative, and solution-oriented skills.

Ability to explain legal reasoning to both technical and non-technical audiences.

Experience in computer science, technical fields, or AI and data-annotation initiatives is strongly preferred.

Work Terms Remote, independent contractor engagement.

Compensation $140 to $350 per hour.

Application Process Submit an application through the available application flow. Continuing the application confirms acknowledgement of the applicable candidate terms and privacy policy.

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