Contract Redlining Attorney, 4+ Years

The Work

You will review commercial agreements for a confidential law and AI training project. Your work will help improve how AI systems handle legal analysis by applying practical judgment to real contract documents.

You will follow established playbooks and policy positions while explaining your reasoning clearly and accurately.

• Review and redline MSAs, NDAs, DPAs, and similar commercial agreements.
• Identify important legal and commercial issues.
• Determine appropriate company positions and fallback outcomes.
• Write clear explanations for proposed redlines and revisions.
• Apply contract drafting, negotiation, and technology transactions knowledge.
• Work with project contributors to maintain consistent standards and interpretations.
• Work independently with careful attention to detail and legal writing quality.

What It Pays and Takes

This is a remote contractor role for candidates in the United States. The work requires fluent English and strong written legal analysis.

• $90 to $110 per hour.
• Remote work for candidates in the United States.
• Contractor and part-time engagement.
• Juris Doctor degree from an accredited law school.
• Active bar admission in a U.S. jurisdiction.
• At least four years of transactional practice focused on contract drafting, review, and negotiation.
• Strong familiarity with limitation of liability, indemnification, confidentiality, and data protection provisions.
• Ability to explain complex legal concepts in clear, actionable writing.
• Sound judgment and accuracy in contract interpretation and review.
• Experience with technology transactions is especially relevant.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

About AI Training Work

AI training is the human work behind systems that learn from examples, including reviewing documents, writing evaluations, and rating model responses. Attorneys bring specialized judgment that helps make legal AI outputs more accurate and useful.