Imagene AI is democratizing precision medicine with multi-modal foundation models and an end-to-end OI Suite. At the core of our technology is a Living Intelligence Engine that continuously integrates and learns from imaging, molecular, and clinical data, making every clinical trial more responsive, every insight more actionable, and every patient journey more personalized.
Our OI Suite is a transformative platform that empowers researchers, clinicians, and pharmaceutical partners across the full spectrum of oncology innovation, from biomarker discovery to patient identification. Our first product, LungOI, is an AI-powered multi-gene test for NSCLC that rapidly profiles biomarkers directly from a standard biopsy image, enabling faster and more informed clinical decisions.
Powered by our state-of-the-art multimodal foundation models- trained on over 1.5 million tissue samples from more than 40 organs and tissue types, along with diverse biological modalities-Imagene AI enables cutting-edge research, especially in data-limited settings.
We are committed to advancing precision medicine and expanding its impact across cancer and beyond. If you are passionate about transforming patient care through AI and innovation, we invite you to join us on this meaningful journey.
We’re looking for a detail-oriented Annotator to support AI models that are reshaping how cancer patients receive treatment. This role focuses on reviewing and validating manually annotated data used to train large language models (LLMs). Your work will directly impact the accuracy and reliability of our machine learning systems.
This is a foundational role focused on high-precision annotation and quality control. Over time, there may be opportunities to take on broader responsibilities, including evaluating model outputs, but the core of the role remains hands-on quality assurance work.
Position terms (review before applying):
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