Healthcare Expert (MD, DO, RN, NP, PA, MPH)
**Fluent Language Skills Required:** English
_**Blended rate to support multiple geographies_
• *Why This Role Exists**
Mercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
In healthcare-related scenarios, accuracy and clarity are essential. This project focuses on **evaluating and improving how conversational AI systems respond to medical and healthcare topics**. Your expertise helps ensure responses are factually correct, clearly explained, and aligned with real-world healthcare knowledge and communication standards.
• *What You’ll Do**
- **Write and refine prompts** to guide model behavior in healthcare scenarios
- **Evaluate LLM-generated responses** to healthcare-related queries for accuracy, reasoning, clarity, and completeness
- **Conduct fact-checking of all medical and healthcare claims** using trusted public sources and authoritative references
- **Annotate model responses** by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
- **Assess tone, completeness, and appropriateness of responses** for real-world healthcare use
- Ensure **model responses align with expected conversational behavior** and system guidelines
- **Apply consistent evaluation standards** by following clear taxonomies, benchmarks, and detailed evaluation guidelines
• *Who You Are**
- You have **a minimum of 5 years of real-world professional experience in Healthcare**, supported by an **associated expert degree** (e.g., MD, DO, RN, NP, PA, PharmD, MPH, or equivalent)
- You have experience in **one or more of the following sub-domains**:
- General Clinical Care
- Specialty Medicine or Surgery
- Diagnostics, Imaging & Laboratory Medicine
- Public Health, Healthcare Systems & Administration
- You have **significant experience using large language models** (LLMs) and understand how and why people use them
- You have **excellent writing communication skills for complex medical topics**
- You have **strong attention to detail** and are **comfortable evaluating clinical reasoning and medical explanations**, identifying subtle inaccuracies or gaps that others may overlook
• *Nice-to-Have Specialties**
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality medical or healthcare-related content
- Experience in clinical documentation, charting, or patient communication, including explaining medical information to non-clinical audiences
- Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
• *What Success Looks Like**
- You identify medical inaccuracies, unclear explanations, or unsafe reasoning patterns
- Your feedback improves the clarity and reliability of healthcare-related AI responses
- You deliver reproducible evaluation artifacts that strengthen model performance
- Mercor customers trust their AI systems in healthcare contexts because you’ve rigorously evaluated them
• *Why Join Mercor**
At Mercor, healthcare professionals play a direct role in shaping how AI systems communicate about medical and health-related topics. This role allows you to apply your expertise beyond traditional settings while contributing to the development of more accurate and reliable healthcare AI systems.
Apply tot his job
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_**Blended rate to support multiple geographies_
• *Why This Role Exists**
Mercor partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.
In healthcare-related scenarios, accuracy and clarity are essential. This project focuses on **evaluating and improving how conversational AI systems respond to medical and healthcare topics**. Your expertise helps ensure responses are factually correct, clearly explained, and aligned with real-world healthcare knowledge and communication standards.
• *What You’ll Do**
- **Write and refine prompts** to guide model behavior in healthcare scenarios
- **Evaluate LLM-generated responses** to healthcare-related queries for accuracy, reasoning, clarity, and completeness
- **Conduct fact-checking of all medical and healthcare claims** using trusted public sources and authoritative references
- **Annotate model responses** by identifying strengths, areas of improvement, and factual or conceptual inaccuracies
- **Assess tone, completeness, and appropriateness of responses** for real-world healthcare use
- Ensure **model responses align with expected conversational behavior** and system guidelines
- **Apply consistent evaluation standards** by following clear taxonomies, benchmarks, and detailed evaluation guidelines
• *Who You Are**
- You have **a minimum of 5 years of real-world professional experience in Healthcare**, supported by an **associated expert degree** (e.g., MD, DO, RN, NP, PA, PharmD, MPH, or equivalent)
- You have experience in **one or more of the following sub-domains**:
- General Clinical Care
- Specialty Medicine or Surgery
- Diagnostics, Imaging & Laboratory Medicine
- Public Health, Healthcare Systems & Administration
- You have **significant experience using large language models** (LLMs) and understand how and why people use them
- You have **excellent writing communication skills for complex medical topics**
- You have **strong attention to detail** and are **comfortable evaluating clinical reasoning and medical explanations**, identifying subtle inaccuracies or gaps that others may overlook
• *Nice-to-Have Specialties**
- Prior experience with RLHF, model evaluation, or data annotation work
- Experience writing or editing high-quality medical or healthcare-related content
- Experience in clinical documentation, charting, or patient communication, including explaining medical information to non-clinical audiences
- Familiarity with evaluation rubrics, benchmarks, or quality scoring systems
• *What Success Looks Like**
- You identify medical inaccuracies, unclear explanations, or unsafe reasoning patterns
- Your feedback improves the clarity and reliability of healthcare-related AI responses
- You deliver reproducible evaluation artifacts that strengthen model performance
- Mercor customers trust their AI systems in healthcare contexts because you’ve rigorously evaluated them
• *Why Join Mercor**
At Mercor, healthcare professionals play a direct role in shaping how AI systems communicate about medical and health-related topics. This role allows you to apply your expertise beyond traditional settings while contributing to the development of more accurate and reliable healthcare AI systems.
Apply tot his job
Apply To this Job