[Remote] Remote Resident Doctor (MD/DO) - 42012
Salário Estimado
R$ 7.722,00 - R$ 11.583,00
Descrição da Vaga
Note: The job is a remote job and is open to candidates in USA.
Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
In this role, you will leverage your expertise in internal or emergency medicine to help fine-tune large language models, ensuring AI systems deliver accurate and empathetic medical reasoning.
You will collaborate with AI researchers to improve model quality and provide expert feedback for next-generation AI development.
Responsibilities • Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice, from complex differential diagnoses to chronic care management
It was founded in 2018, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees.
Its website is https://www.turing.com.
Company H1B Sponsorship • Turing has a track record of offering H1B sponsorships, with 16 in 2025, 8 in 2024, 7 in 2023, 16 in 2022, 6 in 2021.
Please note that this does not guarantee sponsorship for this specific role.
Requisitos
- MD or equivalent; active practice within the last 3+ years
- Board certification or equivalent qualification in Internal or Emergency Medicine
- Strong grasp of internal medicine's full spectrum — acute care, chronic disease, and preventive medicine
- Skilled in articulating complex medical reasoning in clear, patient-friendly language
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.)
Responsabilidades
- In this role, you will leverage your expertise in internal or emergency medicine to help fine-tune large language models, ensuring AI systems deliver accurate and empathetic medical reasoning
- You will collaborate with AI researchers to improve model quality and provide expert feedback for next-generation AI development
- Design and solve advanced clinical scenarios reflecting internal or emergency medicine practice, from complex differential diagnoses to chronic care management
- Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning
- Identify gaps in AI understanding across internal medicine subspecialties (cardiology, endocrinology, nephrology, etc.)
- Collaborate with AI researchers and medical peers to improve model quality and reliability
- Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications
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Informações
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