top of page
< Back

Derivatives Counsel (ISDA Specialist)

$150–$200/h

Remote

Role overview

Job Title: Derivatives Counsel (ISDA Specialist)


Job Type: Contractor


Location: Remote


Job Summary: 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.


Key Responsibilities:

  1. Perform simulated negotiations and redlining exercises on ISDA Master Agreements.
  2. Review and assess AI responses to derivatives contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on derivatives documentation tasks with rigor and consistency.
  4. 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 experience in derivatives documentation, with hands-on negotiation of ISDA Master Agreements, LPAs, CSAs and other types of commercial agreements.
  2. Deep familiarity with key ISDA provisions, including events of default, termination events, close-out netting, and collateral terms.
  3. Exceptional written and verbal communication skills with meticulous attention to detail.
  4. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.


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.

Similar jobs

AI Legal Fellow — Litigation & Motion Practice · Micro1 · $150–$300/h · Remote

Attorney · Micro1 · $90–$110/h · Remote

Bankruptcy Attorney · Micro1 · $100–$170/h · Remote, US-based only

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →