Doctors and Medical Experts required for AI research Projects (open/rolling applications) - US

📋 Description

• • Serve as a clinical expert contributing to AI research projects designed to improve healthcare-focused artificial intelligence systems used by leading AI labs and companies.
• • Review, label, and curate clinical data including electronic health records, physician notes, audio recordings, and medical images according to detailed annotation guidelines.
• • Conduct structured human-in-the-loop evaluations of AI models and large language models (LLMs) to assess clinical accuracy, safety, relevance, and reasoning fidelity.
• • Design, test, and iterate on clinical prompts and instruction sets to enhance model performance, reliability, and alignment with real-world medical decision-making.
• • Create high-quality training data by generating precise instructions and responses, with particular attention to edge cases and rare clinical scenarios.
• • Identify and document model failures, errors, and edge-case vulnerabilities, then propose evidence-based strategies to mitigate risks and improve model robustness.
• • Develop and refine clinical scoring rubrics and quality assurance frameworks that measure accuracy, clarity, completeness, guideline adherence, and patient safety.
• • Collaborate with AI researchers and other clinicians to improve annotation standards, acceptance criteria, and evaluation protocols for healthcare AI systems.
• • Participate in project-specific tasks such as summarizing medical records, annotating clinical relationships, and validating AI-generated clinical reasoning outputs.
• • Work independently in a fully remote, asynchronous environment with no fixed hours, allowing flexibility to align with existing clinical practice, academic duties, or personal commitments.
• • Be matched automatically to new projects based on specialty, experience level, licensure, and skillset to ensure optimal alignment between your expertise and project needs.
• • Gain direct exposure to the development of cutting-edge AI tools used by healthcare professionals and organizations, shaping the future of AI-driven clinical care.
• • Contribute to the training of AI systems that assist in diagnosis, documentation, triage, and patient communication, directly impacting clinical workflows and patient outcomes.
• • Engage in continuous learning by working alongside senior AI researchers and clinicians to deepen your understanding of AI applications in medicine and enhance your own professional expertise.
• • Participate in a streamlined onboarding process including a 10–30 minute skills assessment and, when required, a brief interview to confirm project fit.
• • Contribute to a diverse portfolio of AI projects ranging from text-based clinical note analysis to multimodal evaluation of radiology images and diagnostic audio.
• • Provide critical feedback that refines the design, functionality, and safety of AI systems used in clinical settings, ensuring they meet real-world standards of care.
• • Maintain strict adherence to clinical accuracy, patient confidentiality, and ethical guidelines in all data handling and model evaluation tasks.
• • Remain actively licensed and in good standing as a physician in the United States throughout engagement with the platform.
• • Work with a global network of clinicians and AI teams to co-develop solutions that bridge the gap between medical practice and artificial intelligence innovation.