Teacher - Technical AI Safety and/or AI Governance & Strategy

Overview

ML4Good are looking for teachers with a grounding in technical AI safety and/or governance & strategy to teach at one or many of our bootcamps.

You'll support participants through technical sessions and exercises, run discussion groups, 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 an 8-day bootcamp
  • Dates (may be subject to change):
    • Sept 5-13 (UK)
    • Sept 14-22 (France)
    • Sept 26-Oct 4 (France)
    • Oct 17-25 (Hong Kong)
    • Oct 19-27 (France)
• Five hours of wrap-up work (including wrap-up meeting, making improvements, logging feedback)
• Compensation is £2600 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 (for everyone)

• Experience communicating and teaching ideas clearly.
• Organised and proactive.
• Familiar with the AI safety field.
• Concerned and motivated by AI risk and safety.

Essential (depth in at least one of these)

• Technical: a solid grounding in AI systems; you can explain, for example, transformer architecture, model evaluations, or red-teaming methods.
• Governance: a solid grasp of the key policy and governance issues in AI, and how they are currently being debated and addressed.

Bonus

• Experience designing workshops or exercises that build strategic thinking.

If you have expertise in any AI Safety-related field that doesn't match the above categories, err on the side of applying.

Responsibilities

Instruction and facilitation at bootcamp

• Lead instructional sessions for participants who are new to AI safety
• Facilitate dynamic workshops and interactive sessions
• Provide one-on-one feedback and mentor participants

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

Programme management and optimisation

• Help our team to continually assess curriculum effectiveness through feedback and participant outcomes to refine and enhance the programme.

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 8 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

ML4Good bootcamps are 8-day in-person intensive programmes aiming to upskill participants in the AI Safety landscape, to cover the 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 a highly impactful programme geared towards helping brilliant people transition into AI Safety. You’ll play a pivotal role in building the AI safety ecosystem. And, importantly, you'll have fun while doing it.