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Human Frontier Collective Fellow - Medical

Scale AI

New York

Remote

GBP 40,000 - 60,000

Part time

2 days ago
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Job summary

A technology-driven organization is seeking a Medical Fellow to apply clinical training in developing tools for complex medical content. This remote, contract-based role allows for flexible scheduling and direct influence on emerging diagnostic systems. Ideal candidates include graduates from licensed medical schools with strong clinical experience and excellent reasoning skills.

Benefits

Flexible work schedule
Competitive compensation
Opportunity for growth in additional projects

Qualifications

  • Graduates must be board certified and in residency or practicing.
  • Recent or current clinical experience in inpatient or outpatient settings required.
  • Fluency in written English is essential.

Responsibilities

  • Design complex clinical scenarios for testing systems.
  • Evaluate decision-making approaches for clinical outputs.
  • Provide structured feedback for improving reasoning frameworks.
  • Contribute to specialized projects in various medical domains.

Skills

Clinical reasoning skills
Strong writing skills
Ability to assess edge cases

Education

Graduates of a licensed medical school (MD or DO)

Job description

About the Program

The Human Frontier Collective (HFC) brings together domain experts across research, clinical practice, and advanced professional work to contribute to high-impact projects in technology and reasoning systems. As a Medical Fellow, you will apply your clinical training to help develop and evaluate tools that interact with complex medical content. Your work will directly inform how emerging systems reason through diagnosis, triage, and patient care scenarios.

PLEASE NOTE: This is a remote, contract-based role. We welcome international applicants based in the EU, Canada, Australia, and New Zealand. Engagements will run for approximately six months with flexible scheduling.

What You'll Do
  • Design Complex Clinical Scenarios Create detailed case studies and clinical reasoning tasks across specialties to test how systems interpret symptoms, assess risks, and prioritize care.
  • Evaluate Decision-Making Approaches Review and critique structured outputs for clinical safety, accuracy, and sound judgment. Identify errors in logic or inappropriate treatment suggestions.
  • Shape Reasoning Frameworks Provide structured, example-driven feedback to improve how models understand differentials, guidelines, and clinical narratives.
  • Work Across Specialized Projects Contribute to targeted workstreams in internal medicine, emergency care, radiology, psychiatry, and other domains aligned with your background.
Who Should Apply
  • Graduates of a licensed medical school (MD or DO), who are board certified and in residency / post residency / practicing / or with extensive practice
  • Recent or current clinical experience in inpatient, outpatient, or academic settings
  • Strong writing and clinical reasoning skills, with comfort assessing edge cases and nuanced scenarios
  • Backgrounds welcome from internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields
  • Nurse practitioners, physician assistants, and registered nurses with deep clinical experience may also be considered
  • Fluency in written English is required
Why Join the HFC?
  • Contribute to High-Impact Work
    Apply your medical expertise to problems that require real judgment, not rote recall. Your input will directly influence how complex reasoning tasks are handled.
  • Flexible Remote Work + Competitive CompensationSet your own schedule and contribute from anywhere. Most participants engage between 5-20 hours per week.
  • Pathways for Growth
    High-impact contributors may be invited to join additional review projects, advisory roles, or research collaborations.
How to Apply

Submit your CV and a brief summary of your clinical background. Selected candidates will be invited to complete a short trial task and interview.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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