Tech Contract Redlining Attorney, In-House

The work

You will review technology transaction contracts and AI-generated contract responses. Your work helps AI systems learn from careful legal analysis, consistent review, and clear written feedback.

• Evaluate model outputs using project rubrics and record evidence-based judgments.
• Review source materials and model outputs against project guidelines.
• Explain your decisions clearly so feedback can improve model behavior.
• Maintain consistent quality across repeated contract review tasks.
• Apply your knowledge of technology transactions, including MSAs, NDAs, ISDAs, and derivatives agreements.

What it pays and takes

This is part-time remote contractor work with flexible scheduling. The role requires strong technology transactions experience and the ability to turn legal expertise into useful feedback for AI systems.

• Pay: $90 to $130 per hour equivalent, paid per task that meets the project specifications.
• Estimated project earnings: $14,400 to $20,800, based on the hourly-equivalent rate and an OpenTrain assumption of 20 hours per week over the project duration.
• Work type: Part-time, remote contractor work with flexible scheduling.
• Location: remote, open to applicants in the United States.
• Language: Fluent English.
• Experience: At least 3 years of in-house experience focused on technology transactions, especially negotiating MSAs, NDAs, ISDAs, and derivatives.
• Requirements: Exceptional written and verbal communication, meticulous attention to detail, strong analytical ability, and clear written feedback.
• Helpful background: Experience with AI, legal technology, or training initiatives.

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 written responses and judging whether they follow instructions. Legal professionals are paid for this work because careful subject-matter judgment helps improve how AI systems handle specialized tasks.