Redlining Attorney

Position: Contract Redlining Attorney

• $90-$110 per hour
• 100% remote
• Part-time
• Fully flexible schedule

Work on the cutting edge of legal AI, on your own schedule, and get paid for the contract judgment you already have.

The legal AI systems everyone is talking about are trained and tested by practicing attorneys. The teams building them need contract attorneys who can review realistic commercial agreements, judge whether the AI catches the important issues, write the analysis and redlines a lawyer would provide, and explain exactly where the AI's work falls short. Your judgment becomes part of how the next generation of legal AI handles contracts.

This is that work, done remotely around your current practice.

• Review and redline MSAs and NDAs
• Identify important legal and commercial issues in DPAs and other commercial agreements
• Determine company positions and appropriate fallback outcomes
• Write clear explanations for proposed redlines and revisions

Why this is worth your time

• Get paid $90-$110 an hour to build real AI skills, on top of your current job
• Work directly with frontier legal AI tools and see how they are built, tested and improved, experience most contract attorneys will not have for years
• Build a career edge for what comes next: AI is reshaping contract law, and the attorneys who understand it from the inside will lead that change
• Fully remote and flexible, no fixed shifts, no commute

Who this is for

• 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, with strong written legal analysis
• No AI experience needed. You bring the expertise; we bring the training on the tools.

Pay and details

• $90-$110 per hour, paid hourly as an independent contractor
• Fully flexible schedule; fully remote, United States

Open Train AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.