Hey! I'm Manon. Over the past year I've been starting and running AI Safety Saarland, organising the Safe AI Germany Incubator, mentoring local AI safety groups around the world, and TAing at an ML4Good bootcamp. This summer I'll be a resident at the Generator.
When I started out in AI safety myself, the only career paths I really saw were technical research or policy. As I got more involved with field-building, I realised there are many more roles and that people filling them are in great demand right now. But it wasn't clear to me what those roles actually entailed. I ended up talking to grantmakers and research managers at EAG SF and got a much richer picture for myself.
When I taught at ML4Good this May, I saw how many people there also couldn't see career options beyond technical or policy research. That's what motivated me to build this.
This is an independent community resource, not affiliated with any organisation. It aims to give anyone exploring AI safety a concrete, interactive way to discover roles they might not have considered, based on how they actually work and think, not just their technical background.
The tool works by matching users' working preferences against role profiles built from professionals' survey data, the responses collected here. The more professionals contribute, the more accurate the profiles become.
Users answer around 30 questions about how they work. Their profile is then matched against averaged professionals' role profiles to surface fit scores for each role, including ones they would never have thought to consider. Each role card shows a day-to-day description, surprising skills, who struggles there, and links to further resources.
The tool will be freely accessible to anyone, anywhere, and I'm actively working towards making it available through organisations that help people enter the field.
Professionals survey
Many people entering the field still only see technical research or policy and governance work as the career paths in AI Safety. But the field needs and offers many more: research managers, program directors, educators, community builders, communications leads, operations generalists, chiefs of staff. While in recent months fellowships like the Generator Residency have popped up, these roles are still quite invisible to many newcomers. It might be easy to imagine what a technical researcher is doing day-to-day, but quite unclear what this looks like for grantmakers or research managers.
This tool aims to help overcome this information gap. It will give anyone exploring AI safety a concrete, interactive way to discover roles they might not have considered based on how they actually work and think, not just their technical background. Someone might go in assuming they want to become a researcher, and discover that research management or grant-making is actually a much better fit.
To build accurate role profiles, we need data from people working in those various roles like you. Your responses will be anonymised, averaged with others in similar roles, and used to populate the tool's role cards. The tool will be openly available as a community resource. This form takes about 12–15 minutes and your responses will directly help people aiming to contribute to the field understand what the day-to-day work in your role actually looks like and where they may fit best.
80k's career profiles are excellent and I highly recommend them. But they are necessarily broad, describing paths at a high level, aimed at helping people choose between major categories of work.
This tool tries to go deeper in a different direction: the day-to-day work style of specific roles, the surprising skills they require, and who would really thrive versus struggle in them. It will interactively guide users through questions on their working preferences and match their scores to those of different career profiles. The goal is that people discover more types of AI Safety jobs they might be a good fit for.
No. EAGs are great places for people entering the field to learn about new career options, but this tool should actually help them make even more out of their time there.
If people don't know about roles or haven't even considered a second whether this could be interesting to them, they likely won't think to seek out a person with that role at EAG. This tool surfaces the full landscape early, so people arrive at those conversations with better questions.
Access to EAG and EAGx is also uneven. When organising my local university group, I often had people facing barriers based on nationality, background, geography, and timing. This tool will give people at any place and time a way to learn more about how they could contribute to AI Safety best.
All responses are anonymised and aggregated by role type. Nothing will be attributed to any individual or organisation. Role profiles in the tool will reflect averages and patterns across multiple professionals, not any single person's answers.
I am actively seeking collaboration with organisations that target people entering the field like introductory courses, fellowships, bootcamps, university groups, and other entry points to offer this as a shared community resource they can point people to. The tool itself will be free and openly accessible.
No data will be sold, shared with third parties, or used for anything beyond building and improving this tool.
Your role
Role classification
Pick the description that is closest to your current role. If you wear several hats, choose the one that takes up most of your time. This helps us average responses across people doing similar work.
Research & technical
Strategy & funding
Policy & governance
Communications
Talent & education
Community & field-building
Org management & operations
None of the above
Before you start
This survey has two parts. Here is what each one is for, and how it shows up in the tool that people will use.
Profile questions · ~10 min · required
30 scale questions about how you actually work: your autonomy, collaboration style, output type, technical depth, and so on. Your answers produce a role profile: a set of scores across 7 dimensions that describes what working in your role is like.
We average these across everyone who identifies with your role type. The result is an holistic profile for that role. It is not a job description but a more representative picture of what the work actually feels like day to day.
When a user takes the tool, they answer the same questions about their own preferences. Their profile is then compared to all the role profiles, and the closest matches surface at the top, including roles they may never have considered.
Role description · ~5 min · optional
A short set of open questions about what your role is actually like: the day-to-day activities, the skills it requires, who would struggle in it, and common misconceptions. These feed the role cards users read when a role surfaces as a match.
This is the part that makes the tool useful and helps users look deeper into their best match. A user who has never heard of "chief of staff at an AI safety org" can read your words and understand concretely what that means and whether it appeals to them.
Work profile · Part 1 of 4
Place yourself on each scale based on how your work actually is and not how you wish it were or how it is described in a job posting. 1 = fully left, 5 = fully right.
Work Style
Intellectual and research style
Work profile · Part 2 of 4
1 = fully left, 5 = fully right. 3 = neither applies, or it varies a lot.
Relational and amplifier disposition
Communication style
Work profile · Part 3 of 4
1 = fully left, 5 = fully right. 3 = neither applies, or it varies a lot.
Strategy and judgment
Technical depth
Work profile · Part 4 of 4
1 = fully left, 5 = fully right. 3 = neither applies, or it varies a lot.
Impact theory
Almost done
The next questions fill the role description cards in the career discovery tool. This will be the text that tells someone exploring the field what your role is actually like from the inside. These responses might be the most valuable part of the whole survey for making the tool genuinely useful.
Role description (optional)
Bullet points are very welcome throughout. Quick, honest answers are more useful than polished ones. All questions in this section are optional. Please answer what you can.
Bullet points welcome. Keep it concrete.
Bullet points welcome.
Bullet points welcome.
Bullet points welcome.
Links, titles, or author names. Bullet points welcome.
Bullet points welcome.
Your response has been recorded. It will be anonymised and averaged with others in similar roles to build the career discovery tool.