$40–90/hr · micro1
A physician, resident, or medical student who creates challenging clinical Q&A pairs and evaluates AI medical reasoning to improve AI healthcare capabilities.
What you would do
- Craft original medical questions requiring diagnostic thinking, pharmacological reasoning, or synthesis of clinical knowledge
- Research and validate answers grounded in peer-reviewed medical literature, established clinical protocols, and expert consensus sources
- Document the rationale and citations supporting each answer for transparency and defensibility
- Evaluate AI responses to your questions for medical accuracy and soundness of clinical reasoning
- Iteratively refine questions to increase complexity and clarity while maintaining clinical accuracy
Who they want
- Current medical student, resident, or licensed physician with active clinical training or practice
- Demonstrated skill locating, interpreting, and synthesizing information from medical literature and guidelines
- Exceptional attention to detail and ability to write in clear, precise medical English
- Self-motivated and reliable for independent remote work with output-based expectations
- Background in clinical Q&A authoring, assessment review, or AI systems evaluation is valuable but not essential
Main skills
What the interview asks about
1.Clinical question crafting
AI training quality depends on questions that test genuine clinical reasoning; your ability to create questions that reveal where AI fails demonstrates deep medical understanding.
For example: “Design a diagnostic question about a patient with overlapping symptoms suggesting two plausible conditions. Explain why a simple question wouldn't test AI reasoning adequately and what makes your version clinically meaningful.”
2.Research and evidence synthesis
Answers must be defensible; you need skill sourcing current evidence and integrating it into comprehensive, cited responses that AI systems can learn from.
For example: “Describe how you would research the pharmacological interactions for a question about drug interactions in a patient on multiple medications. What sources would you use and how would you verify conflicting information?”
3.Identifying AI reasoning flaws
Evaluating AI responses requires recognizing when the model answers correctly by chance versus demonstrating sound clinical reasoning, which shapes how you refine future questions.
For example: “An AI system answers your diagnostic question correctly but uses superficial reasoning that misses the key clinical distinction you designed the question to test. Explain what you'd observe and how you'd modify the question.”
4.Writing clarity and precision
Ambiguous medical language produces poor training data; your precision prevents AI from learning from misleading or conflicting signals in Q&A pairs.
For example: “You've drafted a question about medication dosing for patients with renal impairment, but realize the wording could be interpreted two ways. Walk through how you'd rewrite it for absolute clarity.”
5.Self-directed output management
Output-based pay means you control your workflow; interviewers assess whether you can maintain quality and consistency while meeting submission requirements independently.
For example: “You're expected to submit a minimum number of questions per week while maintaining high clinical quality. How would you organize your work to balance speed with accuracy?”
A task you may get
Create a single high-difficulty medical Q&A pair on a topic of your expertise, including all citations and rationale. Demonstrate how you'd evaluate whether an AI system answered it correctly and what would make you refine the question.
How to prepare
- Review how to access PubMed, UpToDate, or other authoritative medical sources relevant to your specialty
- Prepare an example of a clinical reasoning problem from your training or practice that could become a good AI evaluation question
- Draft examples of how you would identify weak AI reasoning versus correct answers in medical scenarios
- Familiarize yourself with proper citation format and how to document answer sources for quality control
The facts
- Pay
- $40–90/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Medicine
- Role type
- Generalist
- Posted
- 8/21/2026
- Places left
- 5
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