Open Positions
Join SAIN
SAIN is a volunteer organisation. Our chapters in Amsterdam, Utrecht, and Groningen are powered by people who care about the development and integration of AI going well in the Netherlands and abroad. These are the roles we are currently hiring for.
Rolling applications
Applications are reviewed on a rolling basis, so apply whenever you are ready.
How to apply
One application, any chapter, any role
All chapter applications go through the same short form. You will pick the chapter and the role, attach your CV, and write a short motivation letter (one page is plenty). Your application is sent to the SAIN national inbox and the chapter you applied to.
SAIN Netherlands roles are not tied to a chapter and have their own form and application process.
- Name and email
- Chapter (Amsterdam, Utrecht, Groningen)
- Role(s) you are applying for
- CV (PDF)
- Short motivation letter (PDF or text)
- Optional: LinkedIn or portfolio link
Timeline
What happens next
Applications are reviewed on a rolling basis.
- 1
Applications open
Submit your application whenever you are ready. There is no closing date.
- 2
Rolling review
We read applications as they arrive rather than all at once, so applying earlier means hearing back earlier.
- 3
First-round response
Within 2 to 3 weeks of applying. Strong candidates are invited to a short intro call with the chapter lead for that team.
- 4
Trial conversation
A 30 to 45 minute call to discuss the role, your motivation, and a small task or scenario relevant to the team.
- 5
Onboarding
If the previous steps go well, the standard onboarding cycle starts right after. Joining SAIN's team at other dates is possible.
Organisation-wide
SAIN Netherlands
Some roles belong to SAIN as a whole rather than to a single chapter. Unlike our volunteer positions, these are paid staff roles on the small national team: they work across Amsterdam, Utrecht, and Groningen and report into the national leadership. Each has its own application form and hiring process.
Research Operations Lead
Paid - Full-timeFull-time (1.0 FTE), 40 hours per week, 5 day week. Reports to Director.
Amsterdam, hybrid with a minimum of 3 days in office, plus regular travel to SAIN chapter cities within the Netherlands.
The SAIN Research Hub already exists: supervisors, projects, and a first cohort of researchers. Your job is to make it flourish end to end and build it into the place where Dutch AI safety research talent gets matched, mentored, and published, with output credible enough that researchers and policymakers cite it. You lead the volunteer Research Operations teams in each chapter city and are responsible for the Hub's results. You report directly to the Director and have a budget for the Hub's operations. We are just starting up, so you will be part of the small national team working at SAIN. This role is heavy on project management rather than research insight.
Research Operations Lead
Paid - Full-timeFull-time (1.0 FTE), 40 hours per week, 5 day week. Reports to Director.
Amsterdam, hybrid with a minimum of 3 days in office, plus regular travel to SAIN chapter cities within the Netherlands.
The SAIN Research Hub already exists: supervisors, projects, and a first cohort of researchers. Your job is to make it flourish end to end and build it into the place where Dutch AI safety research talent gets matched, mentored, and published, with output credible enough that researchers and policymakers cite it. You lead the volunteer Research Operations teams in each chapter city and are responsible for the Hub's results. You report directly to the Director and have a budget for the Hub's operations. We are just starting up, so you will be part of the small national team working at SAIN. This role is heavy on project management rather than research insight.
Key responsibilities
- Set and hold the strategic direction of the Research Hub together with leadership and the Advisory Board.
- Proactively recruit supervisors and source projects.
- Run the application process; match researchers to supervisors and projects.
- Monitor active projects, unblock problems as they arise, and intervene when something stalls.
- Recruit, onboard, and manage the volunteer Research Operations teams in each chapter city; maintain continuity across academic-year turnover.
- Work with Communications to publish and promote the Hub's output; maintain the Research Hub Handbook; track and report Hub metrics.
You may be a good fit if you
- Have demonstrated experience managing a team, volunteers, or junior researchers.
- Are familiar with the field of AI safety, both the technical and the governance/policy side.
- Are comfortable working with senior people in academia, industry, and government.
- Enjoy working in a start-up setting.
Strong candidates may also have
- Published AI safety research.
- Familiarity with the Dutch academic and policy landscape.
- Professional working proficiency in Dutch.
What we offer
- Salary
- €50k-€60k gross per year
- Contract
- 1-year contract, 40h, 5-day week
- Start date
- As soon as possible
- 8% holiday allowance
- Unlimited holidays
- Travel allowance and opportunities to attend national and international conferences
- Hybrid working setup (minimum 3 days in office)
- A budget for the Research Hub's operations
Key collaborations
Director, Advisory Board, technical advisors, chapter Research Operations volunteers, supervisors, researchers, Communications.
Application process
- 1Initial screener: a 30-minute conversation with a member of our leadership team.
- 2Work test: a roughly 2-hour take-home assignment mirroring the real job. If you advance past this stage, we will ask your permission to contact references.
- 3Final conversation: 45 to 60 minutes with the Director and one of our technical advisors, including discussion of your work test.
- 4Work trial: a paid 2-day work trial in Amsterdam or remote, doing exactly what the job requires.
Now recruiting
SAIN Amsterdam
SAIN Amsterdam is building its core team. Co-Directors Ana and Andreea are looking for team leads and team members across all teams. If you want to help shape a chapter from the ground up, this is the moment.
Events
Events Lead
Paid - Part-time6 to 10 hours per week. Reports to Chapter (Co-)Director.
Plan and execute the chapter's events. Maintain the chapter's event presence, attract speakers, organise community life. Identify opportunities for SAIN exposure to reach new audiences, strengthen the community, and inspire people into AI safety careers.
Events Lead
Paid - Part-time6 to 10 hours per week. Reports to Chapter (Co-)Director.
Plan and execute the chapter's events. Maintain the chapter's event presence, attract speakers, organise community life. Identify opportunities for SAIN exposure to reach new audiences, strengthen the community, and inspire people into AI safety careers.
Key responsibilities
- Plan a balanced calendar of professional events, community socials, and hackathons. Communicate key dates to Communications Lead.
- Identify exposure opportunities for SAIN board and community members.
- Recruit and brief external speakers.
- Manage event logistics: venue, catering, marketing handover to Communications.
- Run the team meeting.
- Triage the chapter events inbox.
- Coordinate budget with the Chapter (Co-)Director.
Preferred background
- Field
- Open. Genuine interest in AI safety required.
- Level
- Not relevant.
- Experience
- Prior event organisation (student associations, conferences, hackathons) strongly preferred.
- Soft skills
- Project management, comfort cold-emailing speakers, calmness under deadline pressure, strong social skills.
Key collaborations
Chapter (Co-)Director, Communications Lead, Community Manager, external speakers, venue contacts.
Communications
Photographer
Specialisation of Communications Team Member3 to 5 hours per week. Reports to Communications Lead.
Capture, edit, and deliver high-quality visual imagery that documents SAIN's activities, humanises the organisation's mission, and enhances storytelling across all digital and print platforms.
Photographer
Specialisation of Communications Team Member3 to 5 hours per week. Reports to Communications Lead.
Capture, edit, and deliver high-quality visual imagery that documents SAIN's activities, humanises the organisation's mission, and enhances storytelling across all digital and print platforms.
Key responsibilities
- Photograph live events, workshops, panels, and social gatherings hosted by the chapter.
- Conduct planned photo shoots for team portraits, marketing campaigns, and promotional materials.
- Edit and touch up raw imagery to maintain a professional, polished aesthetic aligned with SAIN's brand tone.
- Organise and maintain a shared digital media library (e.g. Google Drive) with properly tagged, high-resolution assets for the Communications team.
- Incorporate feedback from the Communications Lead regarding visual style and selection.
- Attend the weekly Communications team meeting.
Preferred background
- Field
- Open. Photography, media production, or visual arts are helpful.
- Level
- Not relevant; portfolio and technical skill carry more weight than credentials.
- Experience
- Prior photography and editing experience required. Experience with Adobe Lightroom, Photoshop, or equivalent editing software. Access to professional or semi-professional camera equipment is helpful. A portfolio or gallery of past work is strongly preferred.
- Soft skills
- Keen eye for framing and lighting, ability to capture candid moments, reliability in meeting post-production deadlines, and a comfortable demeanour when interacting with event attendees.
Key collaborations
Communications Lead, Content Creator, Events Lead (for event materials).
Community
Community Manager
4 to 6 hours per week. Reports to Chapter (Co-)Director.
Welcome people into the chapter community and funnel them into deeper involvement. Be the friendly face and first point of contact.
Community Manager
4 to 6 hours per week. Reports to Chapter (Co-)Director.
Welcome people into the chapter community and funnel them into deeper involvement. Be the friendly face and first point of contact.
Key responsibilities
- Identify and welcome new community members (chapter WhatsApp, after course iterations, after events).
- Maintain the community relationship management database: track first contact, study, year, level of involvement (GDPR-compliant).
- Be present at chapter events; approach new people there.
- Funnel interested community members towards open positions, course iterations, and events. Forward opportunities from announcement channels to specific high-potential members.
- Triage the chapter community manager inbox.
- Attend Team Lead Meetings; flag community insights and pain points.
Preferred background
- Field
- Open.
- Level
- Not relevant.
- Experience
- Prior community management, student association leadership, or similar helpful.
- Soft skills
- Warmth, social fluency, reliability, comfort with light data work.
Key collaborations
Chapter (Co-)Director, all team leads, course graduates, community members.
Other
Open application
Don't see a role that fits? Apply anyway.
Interested in AI safety and excited about joining SAIN Amsterdam, but none of the roles above quite suit you? We highly recommend applying regardless. Tell us about yourself and what draws you to SAIN in your motivation letter, and we'll figure out together what works well for you.
Now recruiting
SAIN Utrecht
SAIN Utrecht is building its core team. Director Riccardo and the current team leads are looking for hands-on contributors who want to grow the chapter.
Education
Education Lead — Technical & Repository Owner
Paid - Part-time10 to 15 hours per week, with iteration and incubation peaks. Reports to Chapter Director.
Own the technical backbone of SAIN Utrecht's education-to-incubation pipeline: run the Technical AI Safety program, own and maintain SAIN Utrecht's demo-of-risks repository, and supervise and assess the technical quality of every incubated project from Forge through the Research Hub handoff. This role exists because SAIN Utrecht is moving from teaching concepts to shipping reproducible, code-based demonstrations and benchmarks, and someone needs to be responsible for what gets merged, what gets published, and whether a student's work is actually ready for incubation, a grant, or a mentor introduction. This is a paid position, not a volunteer role — compensation reflects the technical ownership and evaluation responsibilities below.
Education Lead — Technical & Repository Owner
Paid - Part-time10 to 15 hours per week, with iteration and incubation peaks. Reports to Chapter Director.
Own the technical backbone of SAIN Utrecht's education-to-incubation pipeline: run the Technical AI Safety program, own and maintain SAIN Utrecht's demo-of-risks repository, and supervise and assess the technical quality of every incubated project from Forge through the Research Hub handoff. This role exists because SAIN Utrecht is moving from teaching concepts to shipping reproducible, code-based demonstrations and benchmarks, and someone needs to be responsible for what gets merged, what gets published, and whether a student's work is actually ready for incubation, a grant, or a mentor introduction. This is a paid position, not a volunteer role — compensation reflects the technical ownership and evaluation responsibilities below.
Key responsibilities
- Plan and run Technical AI Safety course iterations (e.g. ARENA 2-4: LLMs/RL, Evaluation, Eval Science), including the Agents + CyberSec and Biorisk modules.
- Own SAIN Utrecht's shared code repository: define contribution standards, review and approve pull requests, maintain CI/testing hygiene, and ensure reproducibility of published benchmarks and demos.
- Technically supervise and grade Forge project proposals and the 12-week Incubation phase; sign off on which projects are ready to progress to the Research Hub, a Grant (Type 1/2), or an external mentor pipeline (e.g. ARENA, Apart Research).
- Design and maintain hands-on project tracks drawn from the Agentic AI/CyberSec portfolio (agent security benchmarks, sandboxing, MCP/tool-ecosystem security) and the AI×Bio project ladder, calibrated to each cohort's skill level.
- Recruit, train, and support technical facilitators and TAs; run the office hours homework review (TAing) for the Technical cohort.
- Maintain curriculum currency against SAIN Research Hub agenda topics (mech interp, scalable oversight, agent foundations, robustness) and coordinate updates with the Director and Discussion Team.
- Coordinate with the Communications Lead on technical-program marketing and with the Events Lead on hackathon and challenge design (DevPost, Apart Research collaborations).
Strong candidates may also have
- Hands-on experience in cybersecurity and/or agentic AI systems (red-teaming, agent security, LLM evaluations), directly relevant to the Technical program's current curriculum direction.
Preferred background
- Field
- AI/ML, Computer Science, or an adjacent technical field.
- Level
- MSc required. PhD strongly preferred, or in progress.
- Experience
- Strong, demonstrable coding ability. Comfortable owning a shared codebase, reviewing others' code, and setting engineering standards, not just writing personal research code. A clear, verifiable history of technical output is required: published repos, research contributions, competition results (e.g. ARENA, MATS, MARS, SPAR, Apart Research sprints), or equivalent industry experience. This is not an entry-level role. Prior AI safety course completion or facilitation experience strongly preferred.
- Soft skills
- Comfortable assessing and giving critical feedback on others' technical work at a level participants and mentors will trust.
Key collaborations
Chapter Director, Research Lead, Events Lead, Technical Facilitators, Communications Lead, external mentor network (ARENA, Apart Research, Research Hub).
Education Course Facilitator — CyberSec & Agentic AI Track
Specialisation of Education Course Facilitator~4 to 5 hours per week during iterations (one 2-hour session plus prep and homework review). Reports to Education Lead.
Facilitate the Agentic AI + CyberSec module of the Technical AI Safety program. Lead weekly sessions covering agent attack surfaces and defenses (prompt injection, tool misuse, memory poisoning, sandboxing, multi-agent security), support participants through their notebooks and project work, and help identify strong candidates for the Agentic AI Security project portfolio and the Forge/Incubation pipeline.
Education Course Facilitator — CyberSec & Agentic AI Track
Specialisation of Education Course Facilitator~4 to 5 hours per week during iterations (one 2-hour session plus prep and homework review). Reports to Education Lead.
Facilitate the Agentic AI + CyberSec module of the Technical AI Safety program. Lead weekly sessions covering agent attack surfaces and defenses (prompt injection, tool misuse, memory poisoning, sandboxing, multi-agent security), support participants through their notebooks and project work, and help identify strong candidates for the Agentic AI Security project portfolio and the Forge/Incubation pipeline.
Key responsibilities
- Read all assigned materials ahead of each cohort session (ARENA modules, agent security literature).
- Run weekly interactive sessions on agentic AI security topics: attack taxonomies, agent identity and privilege management, MCP and tool-ecosystem risks, red-teaming frameworks.
- Review homework notebooks and provide technical feedback; flag participants who complete strong work for the Research Hunger Games / solo project track.
- Support project scoping for cohort members progressing into the Agentic AI Security Benchmark, Agent Sandbox, or Secure-by-Design portfolio projects.
- Attend regular facilitator check-ins with the Education Lead; report on cohort progress and any participants ready for early hand-off.
Preferred background
- Field
- Computer Science, Cybersecurity, or AI/ML with hands-on security experience (red-teaming, pentesting, or agent/LLM security research).
- Level
- Professional or master's preferred. Strong bachelor's with relevant industry or CTF/red-team experience considered.
- Experience
- Direct hands-on exposure to agentic AI systems and/or applied cybersecurity, e.g. prior red-team work, security research, or completion of an AI safety technical course such as ARENA.
- Soft skills
- Warmth, ability to make technical material accessible to a mixed-skill cohort, comfort giving direct code and security feedback.
Key collaborations
Education Lead, Research Lead, fellow Technical facilitators, Events Lead (for the hackathon pipeline).
Education Course Facilitator — Biosecurity & AI (CBRN Risk Focus)
Specialisation of Education Course Facilitator~4 hours per week during iterations (one 2-hour session plus prep). Reports to Education Lead.
Facilitate the biosecurity module across the Intro, Technical, and Governance programs, with a focus on AI-driven CBRN risk: how frontier AI systems intersect with biological risk pathways, how that risk is evaluated and governed, and how students can contribute to non-operational, safety-oriented research (threat modeling, evaluation design, governance analysis) without ever generating or handling operationally sensitive content.
Education Course Facilitator — Biosecurity & AI (CBRN Risk Focus)
Specialisation of Education Course Facilitator~4 hours per week during iterations (one 2-hour session plus prep). Reports to Education Lead.
Facilitate the biosecurity module across the Intro, Technical, and Governance programs, with a focus on AI-driven CBRN risk: how frontier AI systems intersect with biological risk pathways, how that risk is evaluated and governed, and how students can contribute to non-operational, safety-oriented research (threat modeling, evaluation design, governance analysis) without ever generating or handling operationally sensitive content.
Key responsibilities
- Read all assigned readings ahead of sessions (SecureBio biorisk evaluations, dual-use LLM risk literature, relevant governance material) and keep pace with fast-moving developments in this area.
- Run weekly sessions introducing AI×bio risk concepts at the appropriate level for each track: high-level risk-pathway framing for Intro, deeper technical and evaluation framing for Technical, and policy or governance framing for the Governance program.
- Guide participants toward safe, non-dangerous project formats from the AI×Bio project ladder (e.g. risk-landscape mapping, threat modeling, capability taxonomies, evaluation-benchmark design, governance gap analysis), strictly avoiding any project that could generate or require real operational biological uplift content.
- Provide feedback on written project work (essays, threat models, policy papers) and flag strong candidates for the Research Hub or Governance E2I pipeline.
- Coordinate with the Education Lead on maintaining curriculum accuracy as CBRN-related guidance and public research evolves.
- Attend regular facilitator check-ins with the Education Lead.
Preferred background
- Field
- Biosecurity, biosafety, life sciences, public health, or AI governance/policy with a demonstrated interest in dual-use biological risk. Candidates from a technical AI background with strong biosecurity literacy are also welcome.
- Level
- Master's or PhD preferred. Professionals with relevant biosecurity, biosafety, or policy experience strongly considered.
- Experience
- Familiarity with biosecurity risk frameworks, dual-use research of concern (DURC) norms, or AI-bio evaluation literature (e.g. SecureBio, frontier lab biorisk evaluations). Prior completion of an AI safety course preferred.
- Soft skills
- Strong ability to discuss CBRN risk pedagogically and responsibly, framing risk pathways and governance gaps without ever walking through operational detail. This is a non-negotiable requirement for the role. Comfort facilitating a sensitive topic with care, intellectual humility, and the ability to redirect discussion away from operational specifics while keeping it substantive.
Key collaborations
Education Lead, Governance track facilitators, Research Lead, Director (for any content requiring sign-off given the sensitivity of the topic).
Education Course Facilitator — Embodied AI Safety (Physical AI Track)
Specialisation of Education Course Facilitator~4 to 5 hours per week during iterations (one 2-hour session plus prep and homework review). Reports to Education Lead.
Facilitate the Embodied AI Safety module of the Technical AI Safety program. Lead weekly sessions on the distinct risks posed by physical AI systems: sabotage of infrastructure, loss of control through irreversible physical action, and the limits of transferring digital-AI safety tooling (RLHF, CoT monitoring, interpretability) to multimodal, RL-trained, VLA/world-model architectures. Own the GitHub repository for the module's code and coursework, supervise students' hands-on work with reinforcement learning for robotics, and help identify strong candidates for embodied red-teaming and incubation projects.
Education Course Facilitator — Embodied AI Safety (Physical AI Track)
Specialisation of Education Course Facilitator~4 to 5 hours per week during iterations (one 2-hour session plus prep and homework review). Reports to Education Lead.
Facilitate the Embodied AI Safety module of the Technical AI Safety program. Lead weekly sessions on the distinct risks posed by physical AI systems: sabotage of infrastructure, loss of control through irreversible physical action, and the limits of transferring digital-AI safety tooling (RLHF, CoT monitoring, interpretability) to multimodal, RL-trained, VLA/world-model architectures. Own the GitHub repository for the module's code and coursework, supervise students' hands-on work with reinforcement learning for robotics, and help identify strong candidates for embodied red-teaming and incubation projects.
Key responsibilities
- Read all assigned materials ahead of each cohort session (physical AI misalignment case studies, RL-for-robotics literature, VLA/world-model safety papers, relevant threat-modeling and red-teaming reports).
- Run weekly interactive sessions on embodied AI safety topics: embodiment and irreversibility, physical threat modeling, RL reward hacking in robotic control, sim-to-real gaps, and the non-transferability of LLM-era alignment techniques to non-linguistic, action-based systems.
- Own and maintain the module's shared GitHub repository: set up starter code and simulation environments, define contribution standards, review and merge student pull requests, and keep coursework reproducible.
- Supervise students' technical work with reinforcement learning for robotics (policy training, reward design, sim environments), using NVIDIA robotics/RL libraries (e.g. Isaac Sim, Isaac Lab, Isaac Gym) or comparable frameworks (e.g. MuJoCo, Affine) as the technical backbone of exercises and projects.
- Provide TAing-style feedback on homework and project code: debugging RL training runs, reviewing environment and reward design, and giving direct, technical feedback students and mentors will trust.
- Help scope and support student projects aligned with the Embodied AI Safety project ladder (e.g. red-teaming a simulated robot policy, threat-model case studies, monitoring and control prototypes for physical agents), drawing on collaborator work such as Convergent Robotics' threat-modeling and red-teaming agenda.
- Draft and iterate on the curriculum for the Embodied AI Safety course (session plans, readings, project tracks) in coordination with the Education Lead, and keep it current as physical AI capabilities and incidents evolve.
- Flag participants who complete strong work for the Forge/Incubation pipeline or for introductions to external collaborators working on physical AI safety.
- Attend regular facilitator check-ins with the Education Lead; report on cohort progress and curriculum needs.
Strong candidates may also have
- Familiarity with physical AI threat models (sabotage, loss of control, emotional or physical manipulation), or prior exposure to red-teaming methodology.
Preferred background
- Field
- Robotics, Computer Science, AI/ML, or a related technical field, with hands-on exposure to reinforcement learning and/or robotics.
- Level
- Master's or PhD preferred. Strong bachelor's with relevant research, an RL/robotics project, or industry experience considered.
- Experience
- Direct hands-on work with RL for robotics and familiarity with common simulation and training stacks (NVIDIA Isaac Sim/Isaac Lab/Isaac Gym, MuJoCo, Affine, or equivalent). Comfortable owning and maintaining a shared codebase (branching, PR review, reproducibility), not just personal research code. Some demonstrable technical output in robotics/RL or AI safety: repos, coursework, competition results, or research contributions. Prior completion of an AI safety technical course (e.g. ARENA) strongly preferred.
- Soft skills
- Ability to make RL and robotics concepts accessible to a mixed-skill cohort, comfort giving direct code feedback, and care in framing physical-risk scenarios responsibly.
Key collaborations
Education Lead, Research Lead, fellow Technical facilitators, Events Lead (for the hackathon pipeline), external physical AI safety collaborators.
Events
Events Team Member — Facilitator
Specialisation of Events Team Member~3 to 5 hours per week, with peaks during discussion group cycles and major events. Reports to Events Lead.
Guide the conversation at SAIN Utrecht events. Lead discussion groups, reading groups, workshops, and panel Q&As so that participants of all backgrounds feel welcome, take part actively, and leave with a clearer understanding of AI safety. This role makes sure our events are not only well organised but also well discussed.
Events Team Member — Facilitator
Specialisation of Events Team Member~3 to 5 hours per week, with peaks during discussion group cycles and major events. Reports to Events Lead.
Guide the conversation at SAIN Utrecht events. Lead discussion groups, reading groups, workshops, and panel Q&As so that participants of all backgrounds feel welcome, take part actively, and leave with a clearer understanding of AI safety. This role makes sure our events are not only well organised but also well discussed.
Key responsibilities
- Facilitate discussion groups and reading groups as assigned by the Events Lead: open the session, guide the conversation, keep it on topic, and make sure everyone gets a chance to speak.
- Prepare each session in advance: read the materials, and write a short session plan (agenda, timings, discussion questions, activities).
- Moderate talks and panels: introduce speakers, keep time, and run the Q&A.
- Run the interactive parts of workshops and research challenges, such as icebreakers, breakout groups, group exercises, and wrap-ups.
- Create a safe and inclusive space: handle disagreements respectfully and adapt to mixed knowledge levels, from complete beginners to researchers.
- Collect feedback from participants after sessions and share it with the Events Lead to improve future events.
- Coordinate with the Education Lead on session content and reading materials where relevant.
- Attend the weekly team meeting and help with general event logistics when needed (setup, check-in, cleanup).
Preferred background
- Field
- Open. A solid grasp of core AI safety concepts (e.g. alignment, interpretability, governance) is important, so you can guide discussions and answer basic questions.
- Level
- Not relevant.
- Experience
- Not required; willingness to learn is enough. Prior experience with facilitating, teaching, tutoring, TA work, debating, or leading reading groups is a bonus, as is having completed an introductory AI safety course (e.g. BlueDot Impact).
- Soft skills
- A good listener, able to draw out quieter participants and keep more dominant voices in balance. Calm and neutral, able to guide discussions on contested topics without pushing personal views. Reliability, clear speaking, time management, and careful preparation.
Key collaborations
Events Lead, Education Lead, fellow team members, guest speakers.
Outreach
SAIN Ambassador
~4 to 6 hours per week, with peaks around conference season, welcome week, and major university events. Reports to Events Lead.
Be the outward-facing presence of SAIN Utrecht on campus and beyond: get the chapter into rooms it is not in yet. Help represent SAIN Utrecht through tabling, pitching, workshops, talks, and conferences, with a particular focus on starting and maintaining collaborations with UU departments. This role exists to make sure SAIN Utrecht is visible, credible, and actively building relationships across the university, not just running its own internal programming.
SAIN Ambassador
~4 to 6 hours per week, with peaks around conference season, welcome week, and major university events. Reports to Events Lead.
Be the outward-facing presence of SAIN Utrecht on campus and beyond: get the chapter into rooms it is not in yet. Help represent SAIN Utrecht through tabling, pitching, workshops, talks, and conferences, with a particular focus on starting and maintaining collaborations with UU departments. This role exists to make sure SAIN Utrecht is visible, credible, and actively building relationships across the university, not just running its own internal programming.
Key responsibilities
- Represent SAIN Utrecht at tabling events (welcome fairs, department open days, student association markets) to recruit interest and raise awareness of the chapter.
- Pitch SAIN Utrecht, its mission, programs, and pipeline to university departments, student societies, professors, and potential partners, adapting the pitch to each audience.
- Identify and pursue opportunities at conferences (attending, tabling, or speaking) that raise SAIN Utrecht's profile and surface new collaborators or participants.
- Proactively build and maintain relationships with UU departments (e.g. Computer Science, Philosophy, Ethics, and other relevant faculties) to open doors for guest talks, joint workshops, course-integration opportunities, or research collaboration.
- Scout and open new collaboration opportunities more broadly (other student associations, external orgs, academic groups) and hand off promising leads to the right internal owner: Education Lead, Research/Incubation Ops, or the Director.
- Coordinate closely with the Communications Lead so events are promoted effectively (event pages, social posts, university channels) and messaging stays consistent across pitches and materials.
- Coordinate closely with the Events Lead on the overall events calendar, prioritisation, and resourcing, ensuring ambassador activity feeds into rather than duplicates the chapter's broader event strategy.
- Track outreach and collaboration status (contacts made, pitches given, events run, collaborations opened) and report regularly to the Events Lead.
Strong candidates may also have
- An existing network or familiarity with UU departments, student societies, or the broader Utrecht conference and event scene.
Preferred background
- Field
- Open. This is a relationship and representation role rather than a technical one, though familiarity with AI safety concepts is important for credible pitching.
- Experience
- Prior experience with outreach, community-building, event organisation, or representing an organisation publicly. Student association board experience, ambassador or rep roles, and sales or partnerships experience all transfer well.
- Soft skills
- Comfort with cold outreach: willing to approach departments, professors, and organisations without a warm introduction, and to follow up persistently. A strong communicator, confident and adaptable when pitching to different audiences, from students at a table to faculty in a meeting. Reliability under event-logistics pressure, organisation, and the discretion to represent SAIN Utrecht credibly to external stakeholders.
Key collaborations
Events Lead, Communications Lead, Chapter Director, UU departments, external student organisations and conference organisers.
Other
Open application
Don't see a role that fits? Apply anyway.
Interested in AI safety and excited about joining SAIN Utrecht, but none of the roles above quite suit you? We highly recommend applying regardless. Tell us about yourself and what draws you to SAIN in your motivation letter, and we'll figure out together what works well for you.
Currently at capacity
SAIN Groningen
A few targeted openings in Groningen for people who want to plug into an established, ambitious chapter. We are selectively hiring to strengthen Communications and to support the national Research Hub.
Ready to apply?
One form. Any chapter. Any role.
Send us your CV and a short motivation letter. We will get back to you within two to three weeks.
Applications reviewed on a rolling basis