Medical Quality Assurance Lead (QAL)
What you'll do
You are accountable for the safety of medical training data. You review AI-generated explanations, case analyses, diagnostic discussions, treatment summaries and patient-facing content for accuracy and appropriate caution, and flag anything that could pass as personalized diagnosis, emergency guidance or medication instructions. You also answer trainer questions, post updates on Discord and run onboarding calls. The ad describes the selection as an AI interview, a domain-specific task and a recruiter interview.
Who fits
- A medical degree (MD, DO, MBBS, MBChB or equivalent); advanced clinical, biomedical, nursing or pharmacy degrees may be considered depending on the project
- 3+ years in medicine, clinical practice, medical research, education, documentation or healthcare QA
- Strong grounding in clinical reasoning, pathophysiology, pharmacology and evidence-based medicine
- Strong English for clear review feedback
Familiarity with guidelines, chart review and patient education material is preferred.
What it pays
The ad says up to $95 an hour, $5 above the Medical General Expert role. It is a ceiling, and the ad does not say what a typical rate is. Payment terms and the hiring process are covered on the company page.
Worth knowing
Good:
- A strong ceiling, with only 3+ years required
- Safety review work has real purpose
- Hourly and remote
Less good:
- The ad says there is no immediate project for this role; qualified applicants are put first in line when a matching project opens, so applying may not lead to work right away
- Open only to applicants in the United States
- Hours and team size are not published
About this listing
Posted on SME Careers, where SuperAnnotate hires experts; we read the ad on 27 October 2026. The board gives no posting date, and we have not independently verified the pay ceiling. The comparisons with similar roles are ours. For how SME hires and pays, including its time-tracking rules, read the company page. See SuperAnnotate.
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