Join Quantaible
Quantaible is being built around a simple idea: AI work should remain inspectable, attributable, and under human authority.
No roles are currently advertised. We are still interested in meeting people whose work could materially strengthen Quantaible before a formal vacancy exists.
Two ways in
Some people may eventually join the team. Others may be better collaborators, reviewers, research partners, advisers, or specialist contributors. Both routes matter.
We are not advertising roles today. If your experience aligns strongly with the work, you can still introduce yourself. Quantaible would rather meet the right people early than wait until a job description already exists.
See the areas we expect to needNot every useful relationship needs to become employment. Quantaible is open to research collaboration, technical contribution, independent review, specialist partnerships, and carefully scoped pilot work.
Explore collaboration pathsJoin the team
These are areas of likely future need, not advertised vacancies. A strong introduction should explain what you could contribute, what you have already built or learned, and why Quantaible is the kind of problem you want to work on.
Build reliable product surfaces, execution paths, evidence handling, and the infrastructure around Q.
Work on model routing, evaluation, retrieval, context, provenance, and inspectable AI behaviour.
Strengthen boundaries around identity, processing, persistence, access, credentials, and organisational use.
Make complex investigation work understandable, keyboard-complete, screen-reader meaningful, and usable across devices.
Help define explicit authority, review, retention, organisational controls, and the rules that keep proposals distinct from decisions.
Help turn a strong product contract into durable customer relationships, pilots, partnerships, and responsible growth.
No vacancy is implied, and an introduction does not create an employment process or commitment.
Collaborate with us
The best collaboration proposals make the objective, contribution, boundaries, expected outputs, and responsibilities clear. Quantaible does not need every collaborator to become part of the company.
Academic, independent, or applied research that can test, challenge, measure, or extend Quantaible's approach.
Security, privacy, accessibility, governance, legal, technical, or domain review where scrutiny can strengthen the system.
Open-source work, infrastructure integrations, model or retrieval systems, interoperability, and specialist engineering.
Universities, civic organisations, research groups, institutions, and other partners testing inspectable AI work in real settings.
Include enough detail to understand the proposed work, but do not send passwords, API credentials, confidential third-party material, or sensitive data that is not necessary for the introduction.
What matters here
These are practical expectations for building, reviewing, and collaborating around Quantaible. They are more useful than a wall of generic culture statements.
Strong work should survive inspection. Be willing to show what supports a conclusion and what still does not.
Improvement should not require erasing the source, the earlier state, or the path that led to a change.
Tools can propose. People remain accountable for what is accepted, retained, shared, or acted upon.
Meaning, control, navigation, and review should remain available without relying on one sense, one device, or one interaction mode.
If something matters, design it so another person can inspect the assumptions, boundaries, and result.
Introduce the contribution
If you think your work, research, experience, or perspective could materially strengthen Quantaible, tell us what you would want to contribute and why.