Micro1 review · AI Training & Data Labeling
Junior Transactional Attorney — Legal AI Training (micro1)
What the work involves
micro1 is seeking Junior Transactional Attorneys for a part-time role at the forefront of legal AI. This opportunity is for early-career lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work — especially those with foundational experience in drafting, reviewing, and redlining within the tech field. You'll review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models, directly improving how these systems identify risk and interpret contract language.
Your responsibilities include performing simulated contract negotiations and redlining exercises; reviewing and assessing AI responses to contract scenarios with actionable feedback; applying objective evaluation frameworks and grading criteria consistently; and collaborating with product and research teams to refine data, guidelines, and best practices for AI-driven contract review. It's a chance to build your experience in a high-impact research environment while defining how AI is developed for the next generation of legal practitioners.
What you'll do
- Perform simulated contract negotiations and redlining exercises
- Review and assess AI responses to contract scenarios, providing feedback to improve model performance and output precision
- Apply objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency
- Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions
- Draft, review, and redline agreements such as MSAs, NDAs, LPAs, and ISDAs from your transactional experience
- Apply legal judgment to evaluate AI outputs on risk identification and contract language interpretation
Requirements & eligibility
- 1–3 years of experience (in-house or law firm) focused on transactional work, with exposure to agreements such as MSAs and NDAs
- Exceptional written and verbal communication skills with meticulous attention to detail
- Strong analytical capabilities and ability to translate legal knowledge into actionable feedback for AI systems
- Demonstrated interest in innovation at the intersection of law and technology
- Ability to work with cross-disciplinary teams in fast-paced environments
- Prior exposure to AI, legal tech, or training initiatives preferred
- Experience or internship at a corporate law firm, ideally touching M&A or fund formation work, preferred
How to apply
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