Healthcare Quality Specialist Expert

Healthcare quality professionals to build the patient safety and quality 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 healthcare quality professionals as contractors to author and grade the patient safety and quality scenarios those evaluations run on.

What you'll actually do

• Author realistic quality scenarios from event report through corrective action plan
• Write reference answers with the methodology behind each analysis
• Grade model output for methodological rigor and regulatory accuracy
• Flag analyses that look thorough but would miss the systemic cause

Who this is for

• Clinical license (RN or similar) or CPHQ certification
• 2+ years in healthcare quality, patient safety, or performance improvement
• Depth in quality measures, root cause analysis, or accreditation readiness
• You can write improvement plans clearly enough for another quality professional to follow them

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.
• 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/healthcare-quality-specialist-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.