Corporate and M&A Attorney Expert

The work

You will create and evaluate legal data used to test how AI models handle corporate and M&A work. The scenarios will cover transactions from term sheet through closing and require practical judgment about client risk.

You will turn deal experience into clear explanations that help distinguish sound legal reasoning from answers that appear polished but miss important risks.

• Write realistic corporate and M&A scenarios involving term sheets, purchase agreements, diligence, closings, and board matters.
• Create reference answers that explain drafting and diligence decisions.
• Grade AI model responses about purchase agreements, diligence summaries, disclosure schedules, indemnification, representations and warranties, and board matters.
• Identify material risks and practitioner-level omissions that less experienced reviewers may miss.

What it pays and takes

This is fully remote, asynchronous independent contractor work. The engagement is ongoing, with flexibility to scale your workload from week to week.

The role requires strong written English and the ability to explain why a legal provision is drafted in a particular way, not just recognize a standard form.

• Pay: $100 to $200 per hour, paid weekly via Stripe.
• Hours: At least 10 hours per week, with no maximum.
• Location: Remote and open to candidates in the countries specified for this role.
• Education: JD required.
• Licensing: Active bar admission in a US jurisdiction required.
• Experience: At least two years of corporate or M&A practice at a law firm or in-house.
• Skills: Hands-on experience with purchase agreements, due diligence, board matters, drafting, negotiation support, or closing mechanics.
• Helpful background: Sophisticated law-firm or boutique deal work, private equity, venture or public-company transactions, in-house matters, or board advisory work.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples and human judgment to help improve artificial intelligence systems. Legal experts are valuable because they can assess reasoning, spot meaningful risks, and explain decisions that require real professional experience.