Internal Medicine AI Evaluation Specialist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 69d ago
The date the source published, not the day we noticed it (2026-07-08). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Canada
The description states no restriction of its own. This is the source's own tag.
Pay
$130–180/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 3h ago
The listing
This role is for one of our clients
Compensation: $130-$180 per hour
Join a leading AI research initiative focused on advancing healthcare-focused artificial intelligence. We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning.
In this role, you will develop realistic clinical scenarios, evaluate AI-generated responses against evidence-based standards, and help improve how AI systems reason about diagnosis, treatment planning, and patient management within Internal Medicine.
We welcome Internal Medicine attending physicians, hospitalists, fellows, final-year residents, and other qualified Internal Medicine professionals who are passionate about applying their expertise to the future of healthcare AI.
Requirements
Key Responsibilities
Design Clinical Scenarios
- Create realistic Internal Medicine case studies based on everyday clinical practice.
- Develop prompts covering:
- Diagnostic reasoning
- Differential diagnosis
- Treatment planning
- Risk stratification
- Evidence-based guideline adherence
- Long-term patient management
Create Reference-Quality Responses
- Produce attending physician-level reference solutions that reflect current clinical best practices.
- Ensure recommendations align with established evidence-based guidelines.
Evaluate AI Performance
- Review and assess AI-generated clinical responses using structured evaluation frameworks.
- Identify reasoning gaps, inaccuracies, omissions, and opportunities for improvement.
- Provide detailed written feedback to improve AI model performance and clinical reliability.
Collaborate with Clinical Teams
- Participate in onboarding sessions and specialty calibration meetings.
- Work with multidisciplinary teams to ensure consistency, accuracy, and quality across medical evaluations.
Required Qualifications
Applicants should meet one of the following criteria:
Attending Physicians
- Board-certified in Internal Medicine.
- Current, active, and unrestricted medical license.
Resident Physicians
- Final-year Internal Medicine resident.
- Recent residency graduates must be board-eligible.
Fellows
- Board-certified or board-eligible in Internal Medicine or a related subspecialty.
- Current, active, and unrestricted medical license.
Professionals with expertise in Internal Medicine subspecialties are encouraged to apply, including:
- Cardiology
- Hematology & Oncology
- Endocrinology
- Nephrology
- Gastroenterology
- Pulmonology
- Other Internal Medicine subspecialties
Preferred Qualifications
- Strong knowledge of evidence-based medicine and clinical practice guidelines.
- Experience in clinical teaching, medical research, or quality improvement initiatives.
- Excellent written communication and analytical skills.
- Interest in artificial intelligence, clinical decision support, or healthcare technology.
Engagement Details
- Fully remote with 100% asynchronous work.
- Standard commitment of approximately 20 hours per week, with opportunities for additional hours based on project demand.
- Flexible working schedule.
- Weekly payments.
- Rolling onboarding with ongoing engagement opportunities.
- Compensation is determined by clinical experience, expertise, and seniority.
Why Join
- Help shape the future of AI-powered clinical decision-making.
- Apply your Internal Medicine expertise to improve advanced healthcare AI systems.
- Collaborate with leading AI researchers and experienced clinicians.
- Contribute to high-impact projects that advance safe, accurate, and evidence-based medical AI.
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Contract Information
- Independent contractor engagement.
- Fully remote work completed on your own schedule.
- Projects may be extended, modified, or concluded based on business needs and individual performance.
- Work does not involve access to confidential or proprietary information from any employer, client, or institution.
- Weekly payments are processed through supported payment platforms based on approved work completed.
- Please note that visa sponsorship is not available for this opportunity.