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.





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 transparent, 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.

📌 Prompt Validator - Hyd (Hyderabad)
🏢 ReleasePoint
📍 Hyderabad