Medical Specialist – AI Trainer
@ Invisible Expert Marketplace

Hybrid
$135,200
Hybrid
Contractor
Posted 1 day ago

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Job Details

About the Role

The Medical Specialist – AI Trainer role at Invisible Expert Marketplace calls for experienced medical professionals to help power next-generation AI. You will leverage deep expertise in internal medicine, pharmacology, pathology, clinical diagnostics, and related fields to train and fine-tune advanced language models for clinical and research applications.

Key Responsibilities

  • Engage with AI on clinical scenarios and theoretical questions.
  • Verify factual accuracy and logical soundness of AI responses.
  • Document reproducible error traces and suggest improvements.
  • Collaborate to refine prompt engineering and evaluation metrics.

Qualifications

An MD/DO is required. Candidates with a master’s or PhD in a health sciences discipline may qualify if they have clinical experience, peer-reviewed publications, hospital practice, or involvement in public health projects. Clear, metacognitive communication and detailed explanation of reasoning are essential.

Compensation & Work Details

This is a remote contract role with an hourly pay range of $6 to $65. The final offer is determined based on expertise, experience, and geographic location. Contractors must supply a secure computer and high-speed internet.

Key skills/competency

  • Internal Medicine
  • Pharmacology
  • Pathology
  • Clinical Diagnostics
  • Medical Ethics
  • Prompt Engineering
  • AI Training
  • Error Tracing
  • Evidence-Based Medicine
  • Communication

How to Get Hired at Invisible Expert Marketplace

🎯 Tips for Getting Hired

  • Research Invisible Expert Marketplace: Familiarize with their projects and values.
  • Customize your resume: Highlight clinical and AI training experience.
  • Prepare for interviews: Review clinical scenarios and reasoning tasks.
  • Practice clear communication: Demonstrate metacognitive explanation skills.

📝 Interview Preparation Advice

Technical Preparation

Review clinical case studies.
Study AI error documentation methods.
Brush up on diagnostic imaging protocols.
Familiarize with prompt engineering tools.

Behavioral Questions

Describe teamwork in clinical settings.
Explain error handling in decision processes.
Discuss communication in complex scenarios.
Share experience with adapting to feedback.

Frequently Asked Questions