<div><div>Join our team as a Medical AI Data Labeling Expert to help train cutting-edge AI systems for healthcare applications. You will work with medical imagery and patient data to create high-quality training datasets. <br> <br>Key Responsibilities: <br>• Label medical images and diagnostic data <br>• Ensure data quality and consistency <br>• Collaborate with medical professionals for validation <br>• Follow strict privacy and compliance guidelines <br>• Contribute to dataset documentation <br> <br>Requirements: <br>• Medical degree (MD) or advanced healthcare qualification <br>• Experience with medical imaging (CT, MRI, X-ray) <br>• Understanding of medical AI applications <br>• Attention to detail and accuracy <br>• HIPAA compliance knowledge</div></div>

(Other)

Software Engineering

Data Science

Remote

Rise Data Labs powers the future of AI with 500K+ US-based talent trained to deliver the highest quality data labeling, annotation, and evaluation services. We combine elite human expertise with automation to help teams train, test, and improve AI models faster and more reliably.

From Reinforcement Learning with Human Feedback (RLHF) to large-scale image, video, and text annotation, our vetted workforce provides the human-in-the-loop precision that AI companies need to compete. Unlike offshore click-work, Rise Data Labs delivers context-aware, culturally nuanced annotations that align with the demands of cutting-edge generative AI.

Whether you’re building frontier models, fine-tuning domain-specific LLMs, or running large-scale evals, Rise Data Labs ensures your AI is powered by clean, consistent, and trustworthy training data.

We’re raising the bar for what reliable AI data should look like. Visit risedatalabs.com to learn how we can support your AI development.

Union Square, New York, NY, USA

Rise Data Labs

Medical AI Data Labeling Expert

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