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Healthcare afterquery

Physician Assistant Expert

AfterQuery • Remote

Education

Not stated

Type

Hourly

Pay Rate

$100/hr

Listed

29d ago

Apply Now →

About this role

From the AfterQuery listing

PA-C certified physician assistants to build the clinical reasoning scenarios frontier AI labs use to test model judgment.

AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring PA-C certified physician assistants as contractors to author and grade the clinical reasoning scenarios those evaluations run on.

What you'll actually do

Author realistic clinical scenarios from presentation through workup and plan, the kind a practicing PA actually manages.
Write reference answers with the clinical reasoning behind each decision, differentials weighed and red flags named.
Grade model output for diagnostic accuracy, guideline concordance, and patient safety.
Flag advice that reads plausible but would harm the patient, the misses only a clinician would catch.

Who this is for

Physician assistants with current PA-C certification, an active state license, and at least two years of practice.
PAs from any specialty, emergency, surgery, primary care, hospital medicine, and beyond.
Clinicians who can articulate why a workup is ordered, not just what the protocol says.
People with strong written English who can turn clinical judgment into clear, teachable reasoning.

Contract and pay

$80 to $120/hr, paid weekly via Stripe. Your rate is set from your experience, not negotiated down after you start.
Fully remote, fully async. No fixed hours, it fits around clinical shifts.
Minimum 10 hours per week, no maximum. Scale up or down week to week.
No screen recording, no keystroke monitoring, no idle timers.
Independent contractor. Ongoing project work rather than single task batches.

How our hiring process works

Apply at /apply/physician-assistant-expert. About five minutes. Resume plus a few structured questions.
Resume review. Every application gets read against a published rubric and gets a decision.
Written assessment. You may be asked to take a written assessment for further placement.
Onboarding. Sign the contractor agreement, connect Stripe, and get platform access.
Project match. You're matched to live work in your specialty, usually within a week of onboarding.

About AfterQuery

AfterQuery is an expert data lab. We build the evaluation and training data that frontier AI labs use to measure what their models can and can't do in real professional work. Our contributors are practicing professionals, not annotators, and the work is credited, reviewed, and paid at professional rates.

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

Why this role

AI labs pay $100/hr for a Physician Assistant Expert because getting Healthcare nuance wrong in a training set is expensive to fix later. That's what this rate is pricing in.

Talent pool

We're light on Healthcare candidates

We've matched 33 people with a Healthcare background against 373 Healthcare listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

Set up your profile

Skills and categories

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Common questions

Do I need a PhD to qualify for AfterQuery?

Only for specialist roles: ML research, atmospheric modeling, bioinformatics, COBOL, and audit accounting positions require verifiable credentials, usually a PhD, master's degree, or 5+ years of professional experience. AfterQuery's domain screeners check credentials before confirming an assignment, so listing a degree without the matching experience won't get you through. Generalist reviewer roles have a lower bar but come up less often.

How long do AfterQuery projects last?

Typically 2 to 3 weeks at 10 to 20 hours a week. There's no guaranteed follow-on work once a project closes, so treat it as a high-pay burst contract rather than steady income. AfterQuery does re-hire specialists for new campaigns, but that depends entirely on what AI labs are training at the time.

Why do these AI training roles pay so much?

Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.

What does the day-to-day workload look like for elite-expert AI training roles?

Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.

What does Healthcare work look like for a Physician Assistant Expert?

Tasks here are scoped to Healthcare, not generic labeling. As a Physician Assistant Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Healthcare) rather than following a one-size-fits-all rubric. If you don't have hands-on Healthcare background, this is likely not the right listing to start with.

What specific skills does this listing call for?

English and Expert are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $100/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to Afterquery's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.