Remote Medical Expert with EMR System Expertise - AI Trainer ($60-$100 per hour)

Qualifications

• Ideal Qualifications - Hands-on experience with major EMR or clinical systems (e.g., Epic, Cerner, Allscripts, Meditech)
• Medical education background with an understanding of medical workflows
• Strong understanding of medical documentation standards and patient record workflows
• Detail-oriented with the ability to identify inaccuracies in complex medical content
• Are currently based in the U.S., Canada, New Zealand, UK, or Australia.

Benefits

• Flexible workload: 10–20 hours per week, with potential to increase to 40 hours
• • Compensation and Legal Details - $60–100/hour depending on expertise and geography - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect

Responsibilities

• This opportunity involves applying your domain knowledge to support the development of AI tools that better understand clinical workflows and healthcare documentation
• It’s a chance to leverage your practical expertise in EMR usage to shape cutting-edge technology with real-world healthcare applications
• • Key Responsibilities - Review and validate AI-generated content related to EMR workflows and medical documentation - Provide feedback on clinical accuracy and usability within EMR contexts - Develop and refine case-based scenarios that simulate real-world EMR usage - Collaborate on evaluating system outputs for clinical consistency and alignment with medical standards
• Fully remote and asynchronous—work on your own schedule
• • Role Start Date - This role will begin in September with applications reviewed on a rolling basis
• • Interview Process - You will take a technical interview where we assess your implementation experience, approach to integrations, and documentation skills
• As part of the interview you will share your screen and complete a practical task (≈25 minutes) such as: map a FHIR resource to EHR data fields, write an interface mapping snippet, create a high-level go-live checklist, or diagnose a sample interface error from logs
• You may be asked to evaluate an AI-generated implementation proposal (for example, a suggested mapping or configuration) and provide corrections or improvements—this helps us understand your real-world judgement on accuracy and safety
• Applicants will be selected based on their hands-on performance, clarity of technical reasoning, and ability to produce operational documentation

Full Description

Role Overview

Mercor is collaborating with a research-focused AI organization seeking medical experts with extensive experience using electronic medical record (EMR) systems.

This opportunity involves applying your domain knowledge to support the development of AI tools that better understand clinical workflows and healthcare documentation.

It’s a chance to leverage your practical expertise inEMR usage to shape cutting-edge technology with real-world healthcare applications. * * * Key Responsibilities - Review and validate AI-generated content related to EMR workflows and medical documentation - Provide feedback on clinical accuracy and usability within EMR contexts - Develop and refine case-based scenarios that simulate real-world EMR usage - Collaborate on evaluating system outputs for clinical consistency and alignment with medical standards * * * Ideal Qualifications - Hands-on experience with major EMR or clinical systems (e.g., Epic, Cerner, Allscripts, Meditech). - Medical education background with an understanding of medical workflows. - Strong understanding of medical documentation standards and patient record workflows. - Detail-oriented with the ability to identify inaccuracies in complex medical content. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. * * * Role Highlights

Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. * * * Role Start Date - This role will begin in September with applications reviewed on a rolling basis. * * * Interview Process - You will take a technical interview where we assess your implementation experience, approach to integrations, and documentation skills. - As part of the interview you will share your screen and complete a practical task (≈25 minutes) such as: map a FHIR resource to EHR data fields, write an interface mapping snippet, create a high-level go-live checklist, or diagnose a sample interface error from logs. - You may be asked to evaluate an AI-generated implementation proposal (for example, a suggested mapping or configuration) and provide corrections or improvements—this helps us understand your real-world judgement on accuracy and safety. - Applicants will be selected based on their hands-on performance, clarity of technical reasoning, and ability to produce operational documentation. * * * Compensation and Legal Details - $60–100/hour depending on expertise and geography - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA.

Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Apply today and redefine digital creativity alongside groundbreaking AI technologies!