At a Glance
- Tasks: Help shape AI by applying your internal medicine expertise to improve diagnostic accuracy and patient care.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Fully remote work, flexible hours, and the chance to influence next-gen AI development.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact on healthcare by enhancing AI systems with your medical knowledge.
- Qualifications: MD or equivalent with recent practice in internal medicine and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.
What You’ll Do
- Design and solve advanced clinical scenarios reflecting internal 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.
- 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.
Candidate Requirements
- MD or equivalent; active practice within the last 3+ years.
- Board certification or equivalent qualification in Internal 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.
- Excellent written and spoken English; familiarity with digital medical tools is a plus.
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).
Offer Details
- Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST)
- Engagement: Contractor/freelancer (no medical or paid leave)
- Duration: 1 month, with possible extension
- Remote: Fully remote, collaborative environment
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results.
Remote Internal Medicine Physician - 75123 employer: Turing
Turing is an exceptional employer for Remote Internal Medicine Physicians, offering a unique opportunity to contribute to the cutting-edge field of AI in healthcare. With a fully remote and collaborative work environment, employees benefit from flexible hours and the chance to engage with top-tier professionals in both medicine and technology. Turing fosters a culture of innovation and growth, providing meaningful work that directly impacts the future of medical AI applications.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Internal Medicine Physician - 75123
✨Tip Number 1
Network like a pro! Reach out to fellow physicians and AI researchers on LinkedIn or professional forums. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your work in internal medicine, especially any innovative projects or case studies. This will help you stand out when discussing your fit for the role.
✨Tip Number 3
Practice makes perfect! Get comfortable with articulating complex medical concepts in simple terms. You might be asked to explain your thought process during interviews, so being clear and concise is key.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Remote Internal Medicine Physician - 75123
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your experience in internal medicine. We want to see how your background in diagnostic reasoning and chronic disease management makes you the perfect fit for this role.
Be Clear and Concise:When writing your application, use clear and patient-friendly language. We appreciate a straightforward approach that showcases your ability to articulate complex medical concepts simply.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the role. We love seeing candidates who take the time to connect their skills with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates about the process!
How to prepare for a job interview at Turing
✨Know Your Stuff
Make sure you brush up on your internal medicine knowledge, especially around diagnostic reasoning and chronic disease management. Be ready to discuss complex clinical scenarios and how you would approach them.
✨Speak Their Language
Since you'll be working with AI researchers, practice articulating complex medical concepts in a clear and patient-friendly manner. This will show that you can bridge the gap between medicine and technology effectively.
✨Showcase Your Experience
Highlight your recent practice experience and any relevant qualifications. Be prepared to discuss specific cases where you've demonstrated strong clinical judgment and evidence-based reasoning.
✨Engage Collaboratively
Emphasise your ability to work in a team. Discuss how you’ve collaborated with peers in the past and how you can contribute to improving AI model quality through structured feedback and teamwork.
