- Work from
- United States
- Contract
- Contract
- Salary
- $100 – $180 / hour
- Posted
- 13 November 2026
- Apply by
- 12 January 2027
Role Type: ContractorLocation: Remote (US-Based)
About the role
We are seeking experienced Corporate and M&A Legal Experts to contribute to a legal data annotation project focused on mergers and acquisitions, corporate governance, commercial contracts, and securities regulation.
You will apply your legal expertise to develop, review, and refine high-quality legal tasks and datasets that help train advanced AI systems.
No prior AI experience is required. Your legal knowledge and practical experience are what matter most.
Responsibilities
- Develop and review legal annotation tasks covering M&A transactions, corporate governance, due diligence, commercial contracts, and securities law.
- Analyze and draft complex commercial contract scenarios to ensure accurate legal annotations.
- Review corporate and transactional documents to create reliable AI training datasets.
- Provide detailed written feedback to ensure legal accuracy, clarity, and compliance.
- Resolve ambiguities in legal concepts in collaboration with project stakeholders.
- Develop best-practice guidelines and quality checks for legal data annotation.
- Monitor US corporate and M&A legal developments and incorporate relevant updates into project guidelines.
Nice to have
- Active US law license with a focus on corporate law and M&A transactions.
- At least 5 years of experience advising on or structuring M&A transactions, corporate due diligence, or commercial contracts.
- Strong knowledge of US securities law, regulatory compliance, and corporate governance requirements.
- Proven experience drafting and reviewing corporate and transactional legal documents.
- Excellent written and verbal communication skills, with strong legal documentation and annotation abilities.
- Experience in legal technology, legal research, or data-driven legal projects is an advantage.
- Strong analytical skills, attention to detail, and commitment to accuracy.
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Discussion
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