General Counsel for AI-Driven Tech Transactions
Listing checked September 4, 2026 · pay as published by Micro1
Overview
Seasoned in-house lawyers with a focus on technology transactions are sought for a remote, part‑time contractor role at the forefront of legal AI. You’ll review and shape contract redlining workflows that train and test AI models, helping systems better identify risk and interpret contract language. This position centers on drafting, reviewing, negotiating, and redlining MSAs, NDAs, and DPAs within tech settings, while collaborating with product and research teams to refine data and guidelines. Technology transactions and a drive to innovate at the law-tech edge define this work.
What You'll Do4
- 1Simulate contract negotiations and perform redlining exercises to test AI-driven workflows.
- 2Evaluate AI-generated responses to contract scenarios and deliver expert feedback to boost model accuracy.
- 3Develop objective evaluation criteria and scoring rubrics to measure AI performance on contract tasks.
- 4Partner with product and research teams to improve data, guidelines, and best practices for AI-assisted contract reviews.
Requirements5
- 1At least 3 years of in-house experience negotiating technology agreements, especially MSAs, NDAs, and DPAs.
- 2Outstanding written and oral communication with strong attention to detail.
- 3Solid analytical ability to translate legal insights into practical feedback for AI systems.
- 4Track record of innovating at the intersection of law and technology.
- 5Experience collaborating with cross‑functional teams in fast‑moving settings.
Who Should Apply
The ideal candidate is an in‑house tech transactions lawyer with hands-on MSA, NDA, and DPA experience and a proven ability to critique AI outputs. This role may be less suitable for lawyers without in‑house tech deal exposure or those who struggle translating complex analysis into concrete AI feedback. Common fit issues include limited experience with AI or training initiatives and a preference for non‑tech industry work. Candidates who cannot commit to a remote, part‑time contractor arrangement may also be slower to fit.
Salary Insight
Pay is task-based. The average time per task is about 3.5 hours, and the effective hourly rate depends on the volume of completed, signed-off tasks. No fixed hourly rate is stated; compensation varies with output.
Pay and demand on NearSkill
Live dataMedian hourly pay, USD
$70/hour
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Most requested skills
- python8%
- llm evaluation6%
- quality assurance5%
- ai training5%
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