Lightly AG is an ETH and HSG spin-off pioneering in machine learning and computer vision. Backed by Y Combinator and top-tier investors, our technology is used by global leaders in autonomous driving, medical imaging, and visual inspection.
We are looking for a working student to join our team as an AI Trainer, where your work helps improve the reliability and performance of AI systems. In this role, you’ll evaluate and refine AI-Models and their output, ensuring they meet quality standards, follow instructions, and respond appropriately to different contexts.
This is a great opportunity for a driven student who wants to gain hands-on experience in AI development while making a real contribution.
Lightly AG is an ETH spin-off based in Zurich, Prague, and San Francisco, dedicated to developing innovative software solutions that enhance deep learning models. The company addresses the challenges posed by the rapid growth of data available for deep learning, providing tools that help clients efficiently identify and utilize the most relevant data samples. Backed by YCombinator, Lightly AG boasts a talented team of developers and researchers committed to making a significant impact in the field. The company fosters a collaborative environment and offers attractive compensation packages, including cash and equity, with the flexibility of remote work.
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Lightly AG is an ETH spin-off based in Zurich, Prague, and San Francisco, dedicated to developing innovative software solutions that enhance deep learning models. The company addresses the challenges posed by the rapid growth of data available for deep learning, providing tools that help clients efficiently identify and utilize the most relevant data samples. Backed by YCombinator, Lightly AG boasts a talented team of developers and researchers committed to making a significant impact in the field. The company fosters a collaborative environment and offers attractive compensation packages, including cash and equity, with the flexibility of remote work.
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Join Lightly AG as a working student in AI training and model evaluation, contributing to the improvement of AI systems while gaining hands-on experience.
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