Health Information Management Expert

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 integrity
• Write reference answers with the regulatory reasoning behind each decision
• Grade model output for regulatory accuracy and disclosure risk
• Flag guidance that reads right but would breach privacy or corrupt the record

Who this is for

• RHIA or RHIT credential (AHIMA) in good standing
• 2+ years of HIM experience in a provider, payer, or health IT setting
• Depth in release of information, privacy, record integrity, or data governance
• You 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.

How our hiring process works

• Apply at /apply/health-information-management-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.