Medical Expert - AI Model Evaluation

Get paid to help build better AI.

Alpheva AI (www.Alpheva.ai), the Silicon Valley company that is building intelligence behind frontier AI, is looking for experienced medical professionals to participate in paid, project-based work that helps train and evaluate the next generation of AI systems.

You work remotely and asynchronously on projects that fit around your existing schedule.

Your medical expertise becomes the signal that helps AI systems learn what accurate, evidence-based, and professionally sound medical reasoning actually looks like.

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What you'll do

Depending on the project, you may:

• Analyze: Review clinical scenarios, patient cases, medical information, diagnostic questions, and treatment options.
• Evaluate: Review AI-generated medical answers, clinical reasoning, diagnoses, recommendations, and explanations.
• Validate: Determine whether AI-generated medical outputs are accurate, clinically sound, appropriately supported, and consistent with accepted medical knowledge.
• Review: Assess clinical reasoning, differential diagnoses, treatment approaches, medical documentation, and patient scenarios.
• Reason: Solve realistic medical problems and explain how an experienced medical professional would approach them.
• Compare solutions: Assess multiple AI-generated medical solutions and identify meaningful differences in accuracy, reasoning, safety, completeness, and professional judgment.
• Create evaluations: Develop challenging medical tasks and criteria for measuring AI systems.
• Provide expert judgment: Identify errors, unsupported conclusions, missing considerations, unsafe recommendations, and weaknesses in AI-generated medical work.

Projects may involve clinical medicine, diagnostics, treatment planning, pharmacology, medical research, patient care, medical documentation, public health, and other areas depending on your expertise.

Who we're looking for

We're looking for experienced medical professionals, not necessarily AI researchers.

You should have:

1. 3+ years of professional experience in medicine, healthcare, clinical practice, medical research, or a related field
2. Strong medical and analytical reasoning skills
3. Experience working with real-world medical information
4. Ability to evaluate medical analysis and conclusions critically
5. Strong attention to detail
6. Ability to identify errors, inconsistencies, unsupported claims, and missing clinical considerations
7. Strong professional judgment
8. Ability to clearly explain why a medical conclusion is correct or incorrect
9. Experience with any of the following is valuable:
10. Clinical medicine
11. Internal medicine
12. Emergency medicine
13. Surgery
14. Pediatrics
15. Psychiatry
16. Radiology
17. Pathology
18. Pharmacology
19. Medical research
20. Public health
21. Nursing or allied health professions
22. MD, DO, MBBS, RN, NP, PA, PharmD, or equivalent professional qualification
23. You do not need prior experience working in AI.

What matters most is that you know how to do medical work well.

You might be asked to:

Review an AI-generated medical answer and identify the issues.

Evaluate whether an AI-generated diagnosis is supported by the available clinical information.

Assess whether a treatment recommendation is medically appropriate and identify potential concerns.

Compare two AI-generated clinical analyses and determine which is stronger.

Review a clinical scenario and evaluate the quality of the AI's reasoning.

Identify incorrect medical claims, missing considerations, unsupported conclusions, or potentially unsafe recommendations.

Analyze a realistic medical problem and explain your reasoning.

Evaluate whether an AI correctly interprets medical information, symptoms, laboratory results, or clinical findings.

Create challenging medical problems that can be used to evaluate AI systems.

The goal is not simply to determine whether medical analysis looks reasonable.

The goal is to capture the judgment an experienced medical professional uses to determine whether medical reasoning actually makes sense.

Compensation

Paid project-based work.

Rates vary based on your experience, specialization, and project requirements. Your applicable rate and project scope will be shown before you commit to a project.

Some projects are short assignments. Others may involve recurring work over a longer period.

There is no fixed schedule and no minimum commitment.

Work arrangement

• Remote
• Asynchronous
• Project-based
• Flexible hours
• Work around your existing job or commitments
• Paid for qualifying project work

But producing a plausible-looking medical answer is not the same as demonstrating strong medical judgment.

AI needs to learn how experienced medical professionals:

• Analyze clinical information
• Interpret symptoms and medical findings
• Evaluate diagnostic possibilities
• Assess treatment options
• Identify risks and contraindications
• Evaluate clinical reasoning
• Recognize important edge cases
• Distinguish strong evidence from weak or unsupported claims
• Identify potentially unsafe recommendations
• Explain medical conclusions clearly
• Determine when medical analysis is actually reliable

That's where you come in.

Your medical expertise helps shape how AI learns to reason about medicine.

How it works

1. Apply

Tell us about your medical background, experience, qualifications, and areas of expertise.

1. Get qualified

Complete a short assessment designed around the type of medical work you'll perform.

1. Get matched

When your experience matches an active project, we'll share the scope, requirements, and compensation.

1. Do the work

Complete projects remotely and asynchronously.

1. Get paid

Receive the agreed rate for your completed work.

Help teach AI how great medical professionals actually work.

Apply directly through: https://alpheva.ai/experts/