What the work actually is
AfterQuery builds evaluation and training data for AI models, and this quest covers the medical assisting scope of practice. Day to day you are doing two things. First, authoring: writing clinical scenarios with a defensible correct answer and a rationale — a patient presents with a blood pressure reading taken over a sleeve on an adult with a mid-arm circumference that demands a large cuff, and the question is what the MA does next and why the number is unreliable. Second, grading: reading model output against your key and writing feedback that says exactly where the reasoning broke, not just that it was wrong.
The scenarios draw on the full scope — patient intake and history-taking, vital signs technique and error sources, sterile field and instrument handling, injection sites and routes, CLIA-waived testing and specimen labelling, order entry and EHR documentation, insurance and referral workflows, and the medication knowledge an MA is expected to hold without crossing into a role you don't have. Items that quietly ask the model to do something outside MA scope are among the most valuable things you can write, because that boundary is where models fail most predictably.
What the screening looks for
- A verifiable, current credential. CMA (AAMA), RMA (AMT), CCMA (NHA) or equivalent, in good standing, plus an accredited program or equivalent training.
- Chairside specifics, not textbook recall. Screeners follow up. Answers that survive follow-up name real settings, real equipment, and real failure modes you've seen.
- Scope discipline. Whether you can distinguish what an MA does, what requires a delegating provider, and what a nurse or phlebotomist owns.
- Grading judgment. Whether you can spot a clinically wrong answer that is written confidently and fluently — and whether you can articulate why an answer that reaches the right conclusion by bad reasoning still fails.
Logistics
Fully remote and asynchronous. Contributors pick up batches and work them on their own hours, which suits people working clinic days and contributing evenings or weekends. There is no minimum shift, but throughput matters — people who deliver five to ten steady hours a week keep getting batches. Pay is observed in the $40–50/hr range and varies with specialty scope and task type; it is not guaranteed. Expect a short paid or unpaid calibration set before you're at full volume, and expect written feedback on your first items.