Derivatives Counsel (ISDA Specialist)
About the role
We are seeking seasoned Derivatives Counsels for a part time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real world legal work, especially those with deep experience drafting, reviewing, negotiating, and redlining ISDA Master Agreements and related derivatives documentation. 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 derivatives documentation to create tools with improved precision and legal judgment.
What you'll do
- Perform simulated negotiations and redlining exercises on ISDA Master Agreements.
- Review and assess AI responses to derivatives contract scenarios, providing expert feedback to improve model performance and output precision.
- Create objective evaluation frameworks and grading criteria to assess AI performance on derivatives documentation tasks with rigor and consistency.
- Collaborate with product and research teams to refine data, guidelines, and best practices for AI driven contract review solutions.
Requirements
- Minimum of 3 years of experience in derivatives documentation, with hands on negotiation of ISDA Master Agreements, LPAs, CSAs and other types of commercial agreements.
- Deep familiarity with key ISDA provisions, including events of default, termination events, close out netting, and collateral terms.
- Exceptional written and verbal communication skills with meticulous attention to detail.
- Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
- Experience working with cross disciplinary teams in fast paced environments.
- Preferred: Prior exposure to AI, legal tech, or training initiatives.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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