AI Agent Training Specialist
- Employment type
- Part-time
- Workload
- 100%
- Location
- Arlesheim
- Company
- Fankhauser Architektur AG, 4144 Arlesheim
- First posted
At the uptownBasel campus in Arlesheim, we are developing an Innovation Factory to create new ideas. In this context, topics such as Life Sciences, Health Tech, Digital Health, and Robotics, as well as topics such as Space Economy, Artificial Intelligence, and Quantum Computing, are important and should be combined for application. We view GenAI as a new form of creativity that can create value and novelty. Official approval and regulation (Regulatory) will become a central theme. The ongoing monitoring and analysis of legislative changes, such as the EU Medical Device Regulation and its implementation, is a central theme for us. For this purpose, we are looking for an AI Agent Training Specialist.
For the next development phase, we are looking for a person who works daily with AI agents and translates defined questions into precise prompts. A prompt is a concrete work instruction, for example, directed at ChatGPT, in order to obtain a precise result.
Ideally, you have a basic legal education and have dealt with the topics of medicine, medical technology, and its regulation for a few years.
As an assistant, you will work at a workload of 40 to 60 % in a small team closely with the Director Regulatory AI & Digital Transformation.
What you should bring with you:
- You understand business processes and have strong linguistic and logical thinking abilities to create precise prompts.
- The ability to work concentratively for 3 to 4 hours without long interruptions.
- You have a legal background and have experience in the field of regulation or quality assurance in the topics of MedTech, Life Sciences, Digital Health, or Biomedical Engineering.
- Joy in the redesign of processes for AI as well as in data management practices to promote innovation.
- The ability to think systematically, proceed iteratively, and to experiment.
- You learn continuously, actively implement feedback, and help to communicate a network for knowledge exchange and further development transparently in order to build mutual trust.
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Posted 2 days ago