Legal Expert (Corporate & M&A)

Frontier AI Lab; United States; Remote; USD 83,000 - 207,000; Full time

Job summary

Remotebridge is seeking a Legal Expert (Corporate & M&A) to contribute to a customer project focused on legal data annotation within M&A, corporate governance, contracts, and securities regulation. This remote contractor role leverages your US legal expertise to help train AI systems and refine tasks related to deal structuring and due diligence.

You will draft and review complex commercial documents, provide clear annotations, and help establish best-practice guidelines for data

Qualifications

• Active license to practice law in the United States.
• 5+ years’ experience advising on or structuring M&A transactions, corporate due diligence, or commercial contracts.
• Deep knowledge of US securities law, compliance frameworks, and governance requirements.
• Demonstrated skill in drafting and reviewing a wide variety of corporate and transactional documents.
• Exceptional written and verbal communication abilities, including clear annotation and documentation skills.

Responsibilities

• Develop, review, and annotate legal data tasks covering M&A, governance, due diligence, contracts, and securities law.
• Draft and analyze complex commercial contract scenarios for accurate annotation.
• Evaluate corporate documents to create reliable AI training datasets.
• Provide detailed written feedback on legal tasks with clear guidance and accuracy.
• Collaborate with stakeholders to resolve ambiguities in legal concepts and annotate accordingly.
• Create best-practice guidelines and QA checks for legal data annotation workflows.
• Stay current on US corporate and M&A developments and incorporate insights into annotation guidance.

Skills

M&A transactions

Corporate due diligence

Commercial contracts

US securities law

Legal drafting/writing

Annotation quality

Job description

Role Title: Legal Expert (Corporate & M&A)

Role Type: Contractor

Location: Remote

Our team is engaging Legal Experts (Corporate & M&A) to contribute expertise to a customer’s project focused on legal data annotation within M&A, corporate governance, commercial contracts, and securities regulation. 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 a unique opportunity for US-based corporate and M&A lawyers to create, review, and refine tasks directly related to deal structuring, due diligence, governance, contracts, and securities law compliance.

Scope of Work

• Develop, review, and enhance legal data annotation tasks covering M&A transaction structuring, corporate governance, due diligence, contracts, and securities law.
• Analyze and draft complex commercial contract scenarios to ensure accuracy in annotation and data labeling.
• Evaluate and synthesize corporate documentation to create reliable training datasets for AI models.
• Provide detailed written feedback on legal tasks, ensuring clarity, compliance, and instructional accuracy.
• Collaborate with project stakeholders to resolve ambiguities in legal concepts and annotate accordingly.
• Generate best-practice guidelines and quality assurance checks for legal data annotation workflows.
• Stay abreast of US corporate and M&A legal developments, integrating relevant insights into annotation guidance.

Preferred Qualifications

• Active license to practice law in the United States, with a focus on corporate law and M&A transactions.
• 5+ years’ experience advising on or structuring M&A transactions, corporate due diligence, or commercial contracts.
• Deep knowledge of US securities law, compliance frameworks, and governance requirements.
• Demonstrated skill in drafting and reviewing a wide variety of corporate and transactional documents.
• Exceptional written and verbal communication abilities, including clear annotation and documentation skills.
• Prior involvement in legal technology, legal research, or data-driven legal projects is a plus.
• Detail-oriented, analytical mindset with a commitment to accuracy and best practices in legal data work.