What are the responsibilities and job description for the Teaching Lead position at Iliad?
Position Details
Location: In person (Berkeley/SF, CA or London, UK), with occasional travel between the two especially at the start
Type: Full-time
Reports to: Director of Education, Leon Lang
Salary: $80,000 - $130,000 depending on experience and location
Application: Apply here
Deadline: 13 September 2026. We review applications on a rolling basis.
Ideal start date: As early as possible
About Iliad
Iliad is a nonprofit dedicated to advancing foundational AI alignment research. We run the Iliad Intensive, the Iliad Fellowship, and a range of conferences that bring together researchers working on the hardest problems in AI safety. We also incubate research organizations and an academic journal, and have an internal research team. We're a small and quickly growing team.
About The Role
As the teaching lead, you will be responsible for the teaching delivery and quality across the entire Iliad Intensive, a course delivered to more than 40 promising students per iteration with around 15 rotating teachers per iteration. The intensive alternates monthly between London and Berkeley/SF, and is projected to have concurrent monthly London Berkeley/SF cohorts from January 2027 onward. Your responsibilities will include:
What We’re Looking For
At a minimum, we are looking for someone with:
AI is a fast-moving field that changes the nature of our work constantly, and we ultimately care about impact rather than any particular project or approach. As such, we also value:
Benefits
Our benefits include:
Location: In person (Berkeley/SF, CA or London, UK), with occasional travel between the two especially at the start
Type: Full-time
Reports to: Director of Education, Leon Lang
Salary: $80,000 - $130,000 depending on experience and location
Application: Apply here
Deadline: 13 September 2026. We review applications on a rolling basis.
Ideal start date: As early as possible
About Iliad
Iliad is a nonprofit dedicated to advancing foundational AI alignment research. We run the Iliad Intensive, the Iliad Fellowship, and a range of conferences that bring together researchers working on the hardest problems in AI safety. We also incubate research organizations and an academic journal, and have an internal research team. We're a small and quickly growing team.
About The Role
As the teaching lead, you will be responsible for the teaching delivery and quality across the entire Iliad Intensive, a course delivered to more than 40 promising students per iteration with around 15 rotating teachers per iteration. The intensive alternates monthly between London and Berkeley/SF, and is projected to have concurrent monthly London Berkeley/SF cohorts from January 2027 onward. Your responsibilities will include:
- Teach various modules of the intensive based on prewritten materials
- Oversee the teaching of other teaching staff to enact improvements
- Uphold teaching standards across a rotating group of part-time teachers
- Work out a scalable strategy for teacher onboarding, ensuring new teachers are quickly trained to reach our standards
- Work closely with our scheduling staff, curriculum developers, and operations team members to ensure a unified operation of the course
- Create course materials and flag necessary improvements to other content creators
What We’re Looking For
At a minimum, we are looking for someone with:
- Strong mathematical maturity; for example, a university degree in a theoretical subject like mathematics, physics, or theoretical computer science. A PhD is a plus but not required.
- Knowledge of the AI alignment field at roughly the level of the Iliad Intensive
- Demonstrated teaching experience and deep care for the effective learning of our participants
- An organized mind and ability to effectively coordinate with other staff and students to reach our goals
- Experience mentoring, coaching, or supervising other teachers
- Familiarity with evidence-based pedagogy (active learning, retrieval practice, etc.)
AI is a fast-moving field that changes the nature of our work constantly, and we ultimately care about impact rather than any particular project or approach. As such, we also value:
- A broadly general skillset that can be applied to many tasks
- Comfort working in a fast-moving organization where priorities and roles will change
- Curiosity and ability to use AI to augment, improve, and automate various aspects of your own work
Benefits
Our benefits include:
- Time Off: 25 days paid vacation annually
- Flexible Working Hours
- Team Retreats: We have occasional in-person team retreats
Salary : $80,000 - $130,000