General Clinician (MD/DO) - HLS

Weekday AI; United States; On-site; USD 170,000 - 243,000; Full time

Job summary

Weekday AI is seeking residency-trained physicians to join a shared expert pool for non-clinical work evaluating AI systems. You will apply clinical judgment to grading criteria, dialogue evaluation, and structured annotation that guides model measurement.

Roles are project-varied and may shift across streams based on specialty, availability, and interest; there is no live patient care or responsibility for diagnosis.

Qualifications

• MD or DO with completed residency in any specialty
• Active, unrestricted medical license in country of practice
• 2+ years post-residency clinical experience, practicing or previously practicing
• Comfort writing structured clinical rationale
• Written and spoken English fluency
• Minimum 20 hours per week, with concentrated hours when stream is time-boxed

Responsibilities

• Grading criteria development for model evaluation
• Clinical dialogue evaluation for accuracy, safety and completeness
• Clinical reasoning annotation detailing differential diagnoses
• Output review to flag hallucinations and unsafe advice
• Guideline authoring to define edge cases and standards of care
• Difficult-case writing to probe model reasoning limits

Skills

Clinical reasoning

Structured writing

English fluency

Clincial judgement

Education

MD or DO

Residency completed

Job description

This role is for one of our clients

Compensation: $150 per hour

We are hiringresidency-trained physiciansacross specialties for non-clinical work developing and evaluating clinical AI systems. You will apply your clinical judgment to grading-criteria development, dialogue evaluation, and structured annotation work that determines how these systems are measured.

This is anon-clinical role— no direct patient care, and no responsibility for live diagnosis.

This is a shared expert pool.After onboarding you may be matched to any of several concurrent clinical workstreams based on your specialty, availability, and interest. You are not committing to a single project, and you may move between streams as priorities shift.

What you may work on

Work varies by workstream and may include:

• Grading criteria development— taking a clinical question and breaking the ideal answer into discrete, checkable criteria, so a model response can be graded consistently rather than impressionistically.
• Clinical dialogue evaluation— reviewing multi-turn clinical conversations and judging them for accuracy, safety, completeness, appropriate hedging, and whether escalation advice was correct.
• Clinical reasoning annotation— recording how you would work through a case, including the differential you considered and rejected, not only the conclusion.
• Output review— flagging hallucinated findings, dangerous omissions, unsupported certainty, and advice that is technically correct but clinically unsafe.
• Guideline authoring— defining edge cases and standards of care for your specialty so annotation stays consistent across a large group of clinicians.
• Difficult-case writing— constructing clinical questions that probe the limits of current model reasoning.

Task length varies by stream, from roughly 45 minutes for a dialogue evaluation up to an hour or more for grading-criteria authoring. You will get a specific throughput target for whichever stream you are matched to.

Required qualifications

• MD or DOwith acompleted residencyin any specialty
• Active, unrestricted medical licensein your country of practice
• 2+ years post-residencyclinical experience, practising or previously practising
• Comfort writing structured clinical rationale that a non-specialist reviewer can follow
• Written and spoken English fluency
• Minimum 20 hours per week, with the ability to concentrate hours when a stream is time-boxed

Preferred qualifications

• Board certification in your specialty
• U.S. licensure, and familiarity with U.S. standards of care and clinical guidelines
• Primary care, internal medicine, emergency medicine, or hospitalist background, where breadth of presentation matters most
• Prior clinical annotation, AI evaluation, medical education, or question-writing experience
• Grading-criteria design, resident assessment, or clinical guideline development experience
• Published research or sustained technical writing (please link a sample)

Why this work

Most clinical AI failures are not exotic — they are ordinary questions answered with misplaced confidence. Catching that requires someone who has actually carried clinical responsibility. The standard these systems get held to is written by physicians, and here you would be writing it.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.