SAIN is hiring.

What you would do

• 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 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.

Who you would work with

The Chapter Director, Communications Lead, Community Manager, external speakers, venue contacts.

What you would do

• 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.

Who you would work with

Communications Lead, Content Creator, Events Lead (for event materials).

What you would do

• 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.

Who you would work with

The Chapter Director, all team leads, course graduates, community members.

What you would do

• Plan and coordinate course iterations (Intro, Technical, Governance), including the Technical AI Safety program (e.g. ARENA 2-4) and the Agents + CyberSec, Biorisk, and Embodied AI Safety modules: schedules, cohort logistics, participant communication, and curriculum currency.
• Coordinate with Incubation Ops (Research Team) to turn strong course participants into projects in the pre-incubation stage: scope Forge proposals, match participants to project tracks and mentors, and hand projects over to Incubation Ops with a clear status summary.
• Work with the Research Ops & Repository Steward to make sure Forge proposals and incubating projects get a technical assessment before they progress to the Research Hub, a Grant (Type 1/2), or an external mentor pipeline.
• Find and maintain partnerships in the AI safety field (e.g. ARENA, Apart Research, SecureBio, Convergent Robotics, BlueDot Impact) that strengthen SAIN's courses, mentor network, and project pipeline.
• Find and maintain partnerships with institutions (UU departments, other universities, research groups, companies) for SAIN courses: guest lecturers, course recognition or credit, shared cohorts, and co-run programs. Hand leads to the Ambassador and Director where relevant.
• Recruit, train, and support facilitators and TAs, and run regular facilitator check-ins. Track cohort progress and flag participants ready for early hand-off.
• Coordinate updates to course content with the Director, the Discussion Team, and SAIN Research Hub agenda topics.
• Coordinate with the Communications Lead on course marketing and with the Events Lead on hackathon and challenge design.
• Keep a steady weekly presence, not only on weekends: check the education inbox and facilitator channels on weekdays, answer participant and partner messages promptly, and keep pre-incubation and partnership threads moving with regular small actions. A few short check-ins during the week are worth more than one long weekend session.

Preferred background

Field

Open. A technical, governance, or related background with solid AI safety literacy.

Experience

Prior AI safety course completion or facilitation experience strongly preferred. Experience in program coordination, partnership building, or running a student organisation or team.

Soft skills

Strong communication and follow-through, and comfort with cold outreach to organisations and institutions. Comfortable working with technical contributors and relying on their assessments without needing to do the code review personally. Reliable, with a weekly rhythm: able to commit to consistent weekday availability.

Who you would work with

Chapter Director, Research Lead, Research Ops & Repository Steward, Incubation Ops, Events Lead, Communications Lead, facilitators, external partners and institutions.

What you would do

• Read all assigned materials ahead of each cohort session, especially technical materials from AI safety organisations and companies (e.g. the ARENA evaluation modules, frontier lab and AI safety institute evaluation reports and frameworks).
• Run weekly interactive sessions on the science of evaluation: how benchmarks are designed and where they fail, measuring model capabilities and propensities, the limits of evals (validity, contamination, sandbagging, elicitation gaps), and how the field and eval methods have developed over time.
• Give participants a shared vocabulary and toolkit, from reading a benchmark critically to designing and running a small evaluation, so they can move on to domain-specific work.
• Coordinate with the Education Lead and the facilitators of the other tracks to define evaluation projects for their domains (e.g. agent security benchmarks, non-operational AI×Bio evaluation design, embodied AI red-teaming setups). Advise on methodology and hand promising projects to the pre-incubation pipeline.
• Work with the Research Ops & Repository Steward and build on the SAIN Repository: align eval code, course notebooks, and demos with its contribution standards, and contribute reusable eval templates and reproducible baselines.
• Develop demos of risks for SAIN to show at events and courses (e.g. live model-behaviour demos, eval walkthroughs, "how do we know if a model is dangerous?" interactive exhibits). Coordinate with the Events Lead on format and with the Communications Lead on how demos are presented publicly.
• Keep demos responsible: they illustrate risk and evaluation methods without providing operational uplift or hazardous content, and sensitive demos get sign-off from the Education Lead or Director before public use.
• Review homework notebooks and project code, give direct technical feedback, and flag strong participants for the Forge/Incubation pipeline.
• Keep the module current as evaluation methods, benchmarks, and model capabilities change, in coordination with the Education Lead and the SAIN Research Hub agenda.
• Attend regular facilitator check-ins with the Education Lead and report on cohort progress and curriculum needs.
• Contribute throughout the week rather than only on weekends: short weekday check-ins on participant questions, cross-track coordination, and demo development.

Strong candidates may also have

• Familiarity with eval frameworks and tooling, red-teaming experience, or a background in one of the other tracks (cybersecurity, biosecurity, robotics/RL).
• Experience building demos or interactive exhibits for a general audience.

Preferred background

Field

AI/ML, Computer Science, or an adjacent technical field, with hands-on LLM experience.

Level

Master's or PhD preferred. A strong bachelor's with relevant evals or research experience is considered.

Experience

Hands-on work with LLM evaluations or benchmarking (running evals, designing tasks, or analysing model behaviour), or completion of an AI safety technical course such as ARENA (evaluation modules in particular). Some demonstrable technical output: a GitHub repo, research contributions, or competition/sprint results such as Apart Research, MATS, or SPAR. Comfortable working in a shared codebase (branching, PR review, reproducibility) and with the SAIN Repository standards.

Soft skills

Ability to make evaluation concepts accessible to a mixed-skill cohort, comfort giving critical technical feedback, and a collaborative attitude toward the other tracks.

Who you would work with

Education Lead, Research Ops & Repository Steward, Research Lead, fellow Technical facilitators (CyberSec & Agentic AI, Biosecurity & AI, Embodied AI Safety), Events Lead (demos, hackathons, challenges), Communications Lead, external AI safety organisations.

What you would do

• 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.

Who you would work with

Education Lead, Research Lead, fellow Technical facilitators, Events Lead (for the hackathon pipeline).

What you would do

• 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.

Who you would work with

Education Lead, Governance track facilitators, Research Lead, Director (for any content requiring sign-off given the sensitivity of the topic).

What you would do

• 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.

Who you would work with

Education Lead, Research Lead, fellow Technical facilitators, Events Lead (for the hackathon pipeline), external physical AI safety collaborators.

What you would do

• 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.

Who you would work with

Events Lead, Education Lead, fellow team members, guest speakers.

What you would do

• Design social media visuals, event posters, flyers, and banner graphics in line with SAIN's brand kit.
• Produce templates for recurring formats (event announcements, reminder posters, recap cards) for reuse by the Communications team.
• Design offline materials such as roll-ups, merchandise, and printed handouts as needed.
• Ensure all visual outputs are consistent with SAIN's fonts, colours, and tone.
• Incorporate feedback from the Communications Lead and iterate quickly.
• Attend the weekly Communications team meeting.

Preferred background

Field

Open. Graphic design, visual communication, or media arts are helpful.

Level

Not relevant; portfolio carries more weight than credentials.

Experience

Prior graphic design work required. Proficiency in Canva, Figma, Adobe Illustrator, Photoshop, or equivalent. Portfolio strongly preferred.

Soft skills

Visual sense, attention to brand consistency, receptiveness to feedback, ability to work to deadlines.

Who you would work with

Communications Lead, Content Creator, Events Lead (for event materials), On-Campus Ambassador (for print materials).

What you would do

• 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.

Who you would work with

Communications Lead, Content Creator, Events Lead (for event materials).

What you would do

• 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.

Who you would work with

Events Lead, Communications Lead, Chapter Director, UU departments, external student organisations and conference organisers.

What you would do

• Create and maintain the SAIN Repository: repo structure, contribution standards, PR review and approval, CI/testing hygiene, documentation, and reproducibility of benchmarks and demos.
• Collaborate with the Education Lead and Incubation Ops to provide technical assessment of Forge proposals and incubating projects, and advise on which are ready to progress to the Research Hub, a Grant, or an external mentor pipeline.
• Collaborate with external companies on projects: scope joint work, keep technical deliverables on track, and act as the technical contact.
• Support course facilitators who own module repositories (e.g. Embodied AI Safety) by aligning their repos with SAIN-wide standards.
• Help design hands-on project tracks (agent security benchmarks, sandboxing, MCP/tool-ecosystem security, AI×Bio project ladder, embodied AI red-teaming), calibrated to participants' skill levels.
• Give technical feedback to project teams that participants and mentors will trust.
• Contribute throughout the week rather than in weekend bursts: review PRs in a timely way, keep CI green, and respond to project teams and external partners within a few days.

Strong candidates may also have

• A background in cybersecurity, robotics, reinforcement learning, or interpretability.
• Prior AI safety course completion, or competition or research output (ARENA, MATS, SPAR, Apart Research sprints).

Preferred background

Field

AI/ML, Computer Science, or an adjacent technical field.

Level

Master's preferred. PhD or PhD in progress is a plus.

Experience

Proficiency in coding is required, and applicants must provide a GitHub repository or profile showing their work. Solid grounding in machine learning. Comfortable owning a shared codebase (branching, code review, testing, reproducibility), not just personal research code.

Soft skills

Reliability, clear written communication, and comfort giving direct, respectful technical feedback.

Who you would work with

Research Lead, Education Lead, Incubation Ops, facilitators, Events Lead, external companies and mentors.

What you would do

• Run our Instagram, LinkedIn and Discord announcements using the SAIN brand kit (fonts, colours and templates).
• Plan a monthly content calendar that fits our wider goals and content themes.
• Promote events with the Events Lead: build anticipation, drive sign-ups and post recaps afterwards.
• Check in with the Education Lead and Research Operations about courses and projects worth promoting.
• Keep the Groningen page of the SAIN website current by sending updates to our website developers. They make the changes, so you never need to edit the site or work in GitHub yourself.
• Design offline materials such as roll-up banners and merchandise.
• Recruit and onboard communications volunteers, and assign them tasks with clear deadlines.
• Stay in touch with the Communications Leads at our Amsterdam and Utrecht chapters.
• Manage the chapter communications inbox.
• Reshare relevant content from our advisors, board members and partner organisations.

You may be a good fit if you

• Care about the risks of advanced AI and want to understand them better. You need no prior knowledge or background in AI, and we will help you get up to speed. If you already know the field, even better.
• Care about where AI is heading, and want more people to engage with it seriously.

Preferred background

Field

Studies or experience in communications, marketing, design or journalism.

Level

Bachelor's student, Master's student or graduate.

Experience

Some experience with social media, content creation or journalism. Comfortable with Canva or a similar design tool.

Soft skills

Strong writing, a good eye for visuals and consistency, creative confidence, reliability with deadlines, clear communication with the team, and flexibility when plans change.

Who you would work with

The Chapter Director, the Events Lead, the Education Lead, Research Operations, your communications volunteers, and the Communications Leads in Amsterdam and Utrecht.

What you would do

• Create posts, stories and graphics for Instagram and LinkedIn using the SAIN brand kit.
• Help promote events, and capture them through photos, video and recaps.
• Write short pieces such as captions, announcements and event summaries.
• Contribute ideas to the monthly content calendar.
• Support the design of offline materials such as posters, banners and merchandise.
• Attend the communications team check-ins, and stay reachable on Discord, where all team communication happens.
• Deliver work that follows the SAIN brand kit and is ready to publish after light feedback.
• Deliver what you take on by the agreed deadline, and say so early if something gets in the way.

You may be a good fit if you

• Are curious about AI safety and the impact of AI on the world. No prior AI knowledge needed.

Preferred background

Field

Open. Design, media, communications or marketing is a plus.

Level

Open. Your portfolio carries more weight than your degree.

Experience

Prior experience in graphic design, content creation, photography or video is required, whether from studies, a student association, freelance work or personal projects. You can work in Canva or a similar design tool without training.

Soft skills

Reliable, independent, open to feedback and happy to work in a team.

Who you would work with

The Communications Lead, the events team, and communications volunteers at our other chapters.