AI Operations & Enablement Intern

Rivero

Zürich

Hybrid

CHF 25.000 - 37.000

Teilzeit

14 Tage+
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Benefits dieser Stelle

Mentorship from engineering team
Ownership of infrastructure project
Potential longer-term role

Zusammenfassung

Rivero in Zurich is offering an internship as an AI Operations & Enablement Intern. You will research, prototype, and implement internal AI tools and automations, turning them into shared company infrastructure. The role spans research, prototyping, and hands-on build-out including knowledge-management and feedback loops.

Ideal candidates are studying CS/Data/AI, curious about AI tools, with solid git knowledge and a structured mindset. Hybrid work from Zurich is expected.

Qualifikationen

  • Currently studying Computer Science, Data/AI, or a related technical field (Bachelor's or Master's).
  • Curious about modern AI tools—agents, coding assistants, automation frameworks.

Aufgaben

  • Research, prototype, and help select an internal knowledge-management system.
  • Move automations and skills to a shared, version-controlled repository with a handover process.
  • Build lightweight usage monitoring across automations and track activity and performance.
  • Design a feedback loop for teamwork to flag quality issues and route to the owner.
  • Support provider-agnostic tooling to avoid vendor lock-in.

Ausbildung

Bachelor's or Master's in CS / Data/AI

Tools

Git

Jobbeschreibung

Contract Details


  • 40%-60% with flexible duration (min 6 months)

  • Rate: CHF 30/hour

  • Start: ASAP / by arrangement


Location: Zurich


Role Overview

As an AI Operations & Enablement Intern, you will play a central role in turning the AI tools and automations Rivero already relies on into shared, well-governed company infrastructure. Your work will span research, prototyping, and hands-on build-out, from evaluating an internal knowledge-management system to tracking automation usage and closing the feedback loop.


Key Responsibilities/Tasks


  • Research, prototype, and help select an internal \"second brain\" / knowledge-management system for the company

  • Help move automations and \"skills\" that today live on individual laptops and personal AI accounts into a shared, company-owned, version-controlled repository with a real handover process

  • Build lightweight usage monitoring across our automations, tracking which ones are active and how often they run, so we know what's working and what could be improved.

  • Design a feedback loop so any team can flag quality issues with an automation and get it routed to whoever owns it

  • Support a move toward provider-agnostic tooling, so our automations aren't locked into a single AI vendor

  • Get hands-on with further real-world use cases - e.g. compliance/contract-review support, HR onboarding automation, or customer-support and meeting-intelligence agents for our product teams


What We Are Looking For

You’ll thrive in this role if:



  • You're currently studying Computer Science, Data/AI, or a related technical field (Bachelor's or Master's)

  • You're genuinely curious about and hands-on with modern AI tools - agents, coding assistants, automation frameworks. You follow the latest developments and AI usage patterns.

  • You have solid software fundamentals and you're comfortable with git; cloud knowledge is a plus.

  • You have a structured, process-oriented mindset; you'd rather build a system than ship a one-off script

  • You're comfortable taking a loosely-scoped, week-sized task and driving it yourself with minimal check-ins

  • You're fluent in English and based in or able to work from Zurich


What We Offer


  • CHF 30/hour, flexible around your semester schedule

  • Real ownership; your work becomes infrastructure the rest of the company relies on

  • Direct exposure to how a fast-moving fintech uses AI in production, across engineering, compliance, and operations

  • Mentorship from our engineering team

  • A possible path to a longer-term role


Additional Requirements


  • This is a hybrid role based in Zurich.

  • Candidates must currently hold the right to live and work in the EU/EFTA area.

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