Position
Summary

We are looking to hire a Prompt
Validator based in India. This role requires a medically trained background — a
nurse, doctor, or medical underwriter — to assist our prompt-writing consultant
in validating the accuracy of AI-generated medical outputs and identifying
areas for improvement. As MIDAS grows and AI workflows are introduced, this
person will ideally help build out that program under the direction of BI and
prepare it for handoff and training to Operations.

Responsibilities

1. Clinical Data Auditing & Quality Assurance

•      Check
the AI Output: Review AI-generated medical summaries and structured data
alongside the original, raw mediccal charts to ensure 100% accuracy.

•      Catch
Medical Errors: Identify missing diagnoses, incorrect medication dosages,
confused timelines, or “hallucinations.”

•      Underwriter
Alignment: Ensure that the specific data points critical to insurance
underwriters (e.g., severity of comorbidities, specific lab values, surgical
history) are accurately captured and highlighted.

2. Prompt Refinement

•      Error
Analysis: When the AI makes a mistake, investigate why. Was the hospital note
messy? Did the AI misunderstand a medical abbreviation?

•      Prompt
Writing: Work with our team to rewrite the AI’s instructions (prompts) in
plain, logical English to prevent the same mistakes from happening again.

•      Continuous
Improvement: Curate examples of highly complex medical records to continuously
test the AI’s performance as it evolves.

3. Cross-Functional Collaboration

•      Act
as the bridge between the clinical/underwriting world and the software
engineering team.

•      Translate
complex clinical concepts into simple rules that developers and machine
learning models can follow.

Requirements

Qualifications &
Requirements

•      Experience:
3+ years in clinical data abstraction, medical coding, clinical documentation
improvement (CDI), nursing, or health informatics.

•      Domain
Expertise: Deep, native understanding of medical terminology, pharmacology,
disease pathways, and how to navigate messy Electronic Health Records (EHR) or
unstructured clinical notes.

•      Meticulous
Attention to Detail: A zero-tolerance policy for medical inaccuracies and a
passion for spotting inconsistencies that others miss.

•      Tech-Forward
Mindset: Highly computer literate, adaptable to new software, and eager to
learn how Large Language Models (LLMs) like ChatGPT work behind the scenes.

•      Communication:
Exceptional written communication skills — able to explain complex medical
concepts simply and write clear, unambiguous instructions.

Preferred

•      Previous
experience in quality assurance (QA) or auditing roles.

•      Familiarity
with life or health insurance underwriting processes and risk factors.

•      Personal
or professional experimentation with AI tools (ChatGPT, Claude, etc.) to
automate daily tasks.