Annotate AI-generated cancer staging derived from imaging findings, rating whether the imaging interpretation and the resulting oncologic staging/treatment implications are both correct.
We're seeking radiologists and oncologists to annotate AI-generated outputs that combine imaging interpretation (tumor size, location, nodal involvement, metastatic spread) with the resulting cancer stage and treatment implications. This task spans two distinct judgment calls: whether the imaging findings themselves are read correctly, and whether the staging/treatment reasoning drawn from those findings is oncologically sound. Each rating becomes a labeled training example used to fine-tune and reward-calibrate the model.
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