Technical Governance Teacher - Law Programme

Overview

ML4Good are looking for a Teacher with a technical grounding in AI safety to help us launch a new, intensive bootcamp designed specifically for legal professionals.

You'll support participants through technical sessions and exercises, help develop and work through practical scenarios that use technical and legal reasoning, engage with influential and motivated legal professionals, and support the smooth running of a new and exciting bootcamp.

The initial contract includes:

  • Ten hours of pre-camp work (including pre-camp meetings, updating or developing sessions)
  • Full-time attendance at the 5-day bootcamp in Prague, 1-7th September 2026 (dates may be subject to change).
  • Five hours of wrap-up work (including wrap-up meeting, making improvements, logging feedback)
  • Compensation is £1630 for the bootcamp, preparation work and wrap-up work

This is a part-time, flexible role during the pre-camp period, followed by full-time attendance at the bootcamp.

What we are looking for

We’re looking for people from a range of backgrounds, across technical AI safety and AI governance.

Essential

  • Deep technical grounding in AI systems: can explain, for example, transformer architecture, model evaluations, or red-teaming methodologies.
  • Experience communicating technical ideas to non-technical audiences, or collaborating closely with non-technical colleagues.
  • Familiarity with the AI value chain and how technical decisions map onto governance questions.
  • Familiarity with the key legal, policy, and governance issues in AI.
  • Organised and proactive.

Bonus

  • Direct experience in applied technical governance, such as evaluations, risk management, model assessment, auditing, or AI assurance.
  • Experience designing workshops or exercises that cultivate strategic thinking.

Responsibilities

  1. Instruction and facilitation at bootcamp
    • Lead instructional sessions on technical AI safety for legal professionals who are new to AI safety.
    • Facilitate dynamic workshops and interactive sessions
    • Provide one-on-one feedback and mentor participants
  1. Curriculum design and development
    • Work with our head teachers to update and improve our curriculum
    • Develop and/or update sessions prior to and during the bootcamp
  1. Program management and optimisation
  • Help our team to continually assess curriculum effectiveness through feedback and participant outcomes to refine and enhance the program.

About Us

About ML4Good

The first bootcamps were part of field-building research by EffiSciences, who concluded that ML4Good was the most effective field-building activity out of the many things they tried. Our alumni have gone on to work in the European AI Office, the French Centre for AI Safety (CeSIA), the Observatorio de Riesgos Catastróficos Globales (ORCG), Future of Life Institute, and SaferAI, among many others. Many have also gone on to participate in further programmes such as MATS and Pivotal.

Our goal is to transform participants' motivation into insights and concrete steps in 5 days. For example, during ML4Good Brazil, we created and reactivated 4 different AI Safety field-building groups in Latin America: Argentina, Colombia, AI Safety Brazil and ImpactRio, and ImpactUSP (University of Sao Paulo). Participants leave the bootcamp with a plan on how to use their unique skills to contribute to AI Safety.

We're proud to say we receive great feedback. Participants consistently rate us above 9/10 for recommending this bootcamp. And, without exaggeration, multiple participants have told us that ML4Good was the best experience of their life.

The Bootcamp

The law bootcamp will be a 5-day in-person intensive programme aiming to upskill participants in the AI Safety landscape, to cover latest developments, and to develop an understanding of AI governance and strategic topics. We help participants to find where their unique skillset can best contribute. Each day features a diverse set of activities such as technical coursework, presentations, group discussions, projects, and social activities in the evenings.

Our teachers overwhelmingly enjoy our bootcamps - many of them see it as a fun break from their usual routine where they have the opportunity to share their knowledge and help others in their AI Safety journey.

Why Join ML4Good?

Joining ML4Good means contributing to one of the first programmes worldwide dedicated to training a new wave of legal experts to address AI Safety. You’ll play a pivotal role in shaping a curriculum that equips individuals to advocate for AI Safety and engage effectively in policy, making a real-world impact on AI risk awareness. And, importantly, have fun while doing it.

Type

Full-time

Location

Near Prague, Czechia

On-site

Deadline

May 31, 2026