The work
Create health information management scenarios that test how AI handles privacy, release of information, record integrity, and data governance. Write reference answers that explain the regulatory reasoning behind each decision.
- Grade AI responses for regulatory accuracy and risk of improper disclosure.
- Identify answers that sound plausible but could breach privacy or damage the medical record.
- Apply professional judgment to health data governance cases and document your decisions clearly.
What it pays and takes
- Pay: $70 to $95 per hour, paid weekly via Stripe.
- Schedule: Remote and asynchronous, with flexible weekly scheduling; commit at least 10 hours per week.
- Location: Open to candidates in eligible countries across the Americas, Europe, Africa, Asia, and Oceania.
- Required: An RHIA or RHIT credential from AHIMA in good standing and at least two years of health information management experience in a provider, payer, or health IT setting.
- Required: Practical experience in release of information, privacy, record integrity, or data governance, plus clear written English for policy and compliance reasoning.
- Required: Ability to work independently as a remote contractor.
- Helpful: Experience as a HIPAA privacy or security officer, with EHR implementation, data migration, or registry work, or a CDIP, CHPS, or CHDA credential.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human-written examples and judgments to help improve AI systems. Experienced health information professionals are needed to assess whether model responses handle health data and privacy rules correctly.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting