TaskHived is an early-stage AI company focused on evaluating how AI systems behave in real-world conditions before deployment. We are currently setting up a Zurich-based workstream and are looking for a hands-on coordinator. Role: Support coordination with Zurich-based partners and stakeholders. Help structure project workflows and evaluation scenarios. Support German-English communication where needed. Organise findings and outputs into clear formats. Assist with general execution across the Zurich workstream. Profile: ETH / EPFL MSc, PhD, or recent graduate. Strong structured thinking and communication skills. Interest in AI systems, startups, or real-world deployment. Comfortable working in an early-stage environment. English required. German at working level preferred. This is not a pure engineering role. The focus is on coordination and structured thinking. Paid role. Scope based on availability.

We’re building a next-generation platform focused on improving how AI systems are evaluated and deployed in real-world environments. This is an early-stage product with a working direction, where we’re now focused on execution turning structured workflows, user flows, and system logic into a stable, usable platform. We’re looking for a strong technical builder who can take ownership of system design and implementation, not just individual features. What you’ll work on: * Designing and building a full-stack system (frontend + backend) * Structuring backend logic and data flows (Supabase / Postgres) * Implementing user flows and dashboards * Integrating APIs and handling real-time data * Ensuring the system is stable beyond demo environments We’re looking for someone who: * Has built and shipped real products end-to-end * Can work with ambiguity and define structure * Thinks in systems, not just components * Prioritizes reliability and clean architecture * Can move fast without overengineering Tech (current stack): * React / frontend frameworks * Supabase (auth, DB, backend logic) * API integrations * Optional: experience with AI systems / LLM workflows