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Medical Doctor - Physician Expert

$230/h

Remote, US only

Role overview

Role Title: Medical Doctor - Physician Expert


Role Type: Contractor - Part-Time, contract (min. ~15 hrs a week)


Location: Remote, US only


micro1 is engaging Medical Doctor - Physician Experts to contribute to a customer’s advanced healthcare project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You will analyze patient and operational data to enhance healthcare outcomes, using your clinical acumen to inform the development and refinement of intelligent systems that support medical decision-making and workflow improvements.


Scope of Work

  1. Analyze and annotate clinical scenarios, patient cases, and healthcare data to guide AI algorithm development.
  2. Review and provide expert feedback on AI-generated medical content, ensuring clinical accuracy and relevance.
  3. Apply knowledge of diagnostic analysis, medicine, physiology, and healthcare protocols to diverse data sets.
  4. Translate complex clinical terminology and workflows into actionable guidance for AI model training.
  5. Collaborate with cross-functional teams, including data scientists and engineers, to refine project objectives and deliverables.
  6. Assess AI system outputs, identifying areas for improvement based on real-world clinical experience.
  7. Maintain high standards of data security, privacy, and ethical compliance throughout all project tasks.


Preferred Qualifications

  1. Current or recent experience in US clinical practice with completion of residency (consideration for those in final year).
  2. Expertise in diagnostic analysis, general medicine, clinical protocols, and physiology.
  3. Preference for contributors from general specialties such as internal medicine, family practice, or emergency medicine; select subspecialties also welcome.
  4. Strong command of clinical terminology and ability to communicate complex concepts in writing and verbally.
  5. Demonstrated analytical skills and attention to detail in clinical and data-driven contexts.
  6. Experience interpreting and working with electronic health records, patient data, or medical documentation.
  7. Commitment to accuracy, compliance, and the advancement of healthcare through innovative technology.


What to expect:

  1. AI Interview (~25 min), a short conversational screen to assess your experience and fit for the role.
  2. Short questionnaire, if the interview goes well, we'll invite you to complete a brief follow-up to confirm fit and gather logistics.
  3. Client review, strong candidates are shared with the client team for final selection.
  4. Offer & onboarding, if selected, you'll receive an offer and begin onboarding. Expect to start your first tasks within 24–48 hours of receiving your credentials.

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Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →