Teachers – Technical AI Safety, AI Governance, Biosecurity & Founders

Overview

ML4Good is looking for teachers with a grounding in technical AI safety, AI governance & strategy, technical or non-technical biosecurity, or founding and building impact-focused organisations to teach at one or many of our bootcamps in 2027.

You'll work in a team of three to four other teachers, led by an experienced headteacher. You'll teach classes, support participants through technical, governance, biosecurity, or founder-focused sessions and exercises, run discussion groups, and support the smooth running of a bootcamp.

A single contract for a bootcamp includes:

• Ten hours of pre-camp work (including pre-camp meetings, updating or developing sessions)
• Full-time attendance at an 8-day bootcamp
• Five hours of wrap-up work (including wrap-up meeting, making improvements, logging feedback)
• Compensation is £2300 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.

We're excited about people who are able to teach at multiple bootcamps.

Exceptional teachers who show excellent organisational and leadership abilities will also get the opportunity to progress to co-headteacher and headteacher roles for future bootcamps.

What we are looking for

We're looking for people from a range of backgrounds, across technical AI safety, AI governance, technical and non-technical biosecurity, broader strategy and field building, and entrepreneurship and organisation building.

Essential (for everyone)

• Experience communicating and teaching ideas clearly.
• Organised and proactive.
• Familiar with the AI safety and/or biosecurity fields.
• Concerned and motivated by catastrophic risks from AI and/or biosecurity risks.

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.
• Biosecurity (technical): a solid grounding in the science behind biological risks, including how AI may affect them.
• Biosecurity (non-technical): experience in biosecurity policy, governance, or strategy, and an understanding of how the field is tackling catastrophic biological risks.
• Founders: experience founding or leading an organisation, startup, or project (ideally in AI safety, biosecurity, or another impact-focused space), and the ability to teach skills like idea validation, fundraising, hiring, and early-stage strategy.

Bonus

• Experience designing workshops or exercises that build strategic thinking.
• Experience mentoring early-stage founders or running incubator/accelerator programmes.

Location: We're running a global hiring round and want teachers in Europe, Asia, Latin America, the US and elsewhere.

If you have expertise in any field related to AI safety, biosecurity, or impact-focused entrepreneurship 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, biosecurity, or founding organisations in these fields
• 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.

We're also looking for people with strong teaching or programme leadership experience to join directly as headteachers. If that's you, let us know in your application.

Hiring Process

• Fill in this short application form
• We assess applications and invite promising candidates to a 30-minute interview
• Successful candidates are added to our teacher roster and invited to teach at one or more bootcamps in our upcoming season
• Depending on your interests and performance, we're excited to offer some teachers longer-term contracts

Apply by 22 November to be considered in our next round of assessments. We review applications on a rolling basis.

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 AI safety and biosecurity, to cover the latest developments, and to develop an understanding of governance and strategic topics. Our Founders Bootcamp helps participants launch and grow new organisations working on these problems. 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, almost as importantly, you'll have fun while doing it!