Pharmacy Technician Expert

Certified pharmacy technicians to build the medication workflow scenarios frontier AI labs use to test practical accuracy. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models. We're hiring certified pharmacy technicians as contractors to author and grade the medication workflow scenarios those evaluations run on. A model can define a DUR rejection. Workflow judgment that is accurate, safe, and in the right order is the product here. What you'll actually do Author realistic prescription processing and adjudication scenarios Write reference answers that show the correct workflow order, not just the end state Grade model output for dosing math, sig interpretation, and safety flags Catch answers that would fail in a real pharmacy queue Who this is for Active CPhT (PTCB or NHA) or state pharmacy technician registration 2+ years in a retail, hospital, or specialty pharmacy Fluent in sig codes, NDCs, days supply math, and insurance adjudication You can document a pharmacy workflow clearly enough for someone else to follow it Contract and pay $45 to $65/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. 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/pharmacy-technician-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.