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AfterQuery seeks RHIA or RHIT credentialed health information management professionals to author and grade health data scenarios for frontier AI model evaluation. This fully remote, async contractor role pays $70–$95 per hour via Stripe and requires 10+ hours per week.
You will craft scenarios, write regulatory reasoning, and assess model outputs for privacy and record integrity. Ideal candidates have depth in release of information, privacy, and data governance, plus excellent written English
RHIA and RHIT credentialed HIM professionals to build the health data governance 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 RHIA and RHIT credentialed health information management professionals as contractors to author and grade the health data scenarios those evaluations run on. What you'll actually do Author realistic HIM scenarios covering privacy, release of information, and record integrityWrite reference answers with the regulatory reasoning behind each decisionGrade model output for regulatory accuracy and disclosure riskFlag guidance that reads right but would breach privacy or corrupt the record Who this is for RHIA or RHIT credential (AHIMA) in good standing2+ years of HIM experience in a provider, payer, or health IT settingDepth in release of information, privacy, record integrity, or data governanceYou can write policy reasoning clearly enough for another HIM professional to follow it Contract and pay $70 to $95/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.
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.