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Remote Ai Math Trainer Jobs in Minnesota (NOW HIRING)

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Prior exposure to AI, legal tech, or training initiatives. * Experience at a corporate law firm in ...

Remote (Worldwide) Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Remote (Worldwide) Schedule: 10-15+ hours a week, Fully Flexible (Can accommodate working after ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Remote About the Role micro1 is partnering with a leading AI lab to hire senior software engineers from top companies. You'll evaluate AI-generated code, create challenging engineering problems, and ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

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Legal Counsel - AI Trainer

Rochester, MN • Remote

micro1 AI
Software Development • 11 - 50 employees

$90 - $130/hr

Part-time

Re-posted 29 days ago


Job description

Role Title: General Counsel


Role Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite legal professionals who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Create, review, and refine contract negotiation playbooks based on diverse real-world scenarios and company requirements.
  3. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  4. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  5. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of Counsel experience focused on technology transactions, particularly negotiating MSAs, NDAs, DPAs, APAs and SPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:


Compensation is task-based, meaning experts are paid per completed task that meets the project specifications. The average handling time (AHT) is approximately 3.5 hours per task, and the effective hourly rate will depend on the number of tasks completed and successfully signed off.