Health & Medicine AI Trainer

Project Overview

Join a professional community dedicated to advancing AI by providing expert feedback on data to enhance large language model (LLM) accuracy. This contract opportunity invites U.S.-based healthcare specialists to evaluate and improve AI's performance in medicine and related fields.

Role Details

This part-time consultant role involves remotely analyzing AI-generated healthcare content such as medical knowledge, symptoms, treatments, anatomy, clinical research, nutrition, and health program operations. Contributors apply their expertise to validate accuracy, completeness, and evidence-based quality of AI responses to ensure reliable and trustworthy healthcare information.

Consultant Responsibilities

• Examine AI outputs for factual correctness and thoroughness across healthcare topics
• Review content about medicine, public health, nutrition, clinical research, anatomy, healthcare operations, and compliance
• Detect errors, unsupported statements, omissions, or flawed reasoning
• Compare alternative AI responses to determine the most accurate according to accepted healthcare standards
• Provide detailed written feedback supported by professional knowledge
• Apply evidence-based reasoning when assessing health information
• Comply with project-specific quality and safety guidelines

Expected Deliverables

• Accurate healthcare content evaluations
• Identification and documentation of factual inaccuracies and reasoning faults
• Clear, concise, well-justified written annotations
• Consistent application of expert healthcare judgment
• Reliable assessments improving AI healthcare domain performance

Qualifications

• Bachelor’s or higher degree in healthcare, medicine, public health, life sciences, nutrition, pharmacy, nursing, healthcare administration, or a related discipline
• Minimum three years of professional experience in clinical practice, public health, health research, healthcare management, or related fields
• Deep understanding of evidence-based healthcare concepts
• Skill in objectively assessing health and medical content
• Strong written communication with ability to clearly explain reasoning

Preferred Qualifications

• Advanced degrees such as MD, DO, RN, NP, PA, PharmD, MPH, PhD, DrPH, MS, RD/RDN, or DPT
• Experience in clinical research, public health or healthcare analytics, quality improvement, consulting, or health policy
• Background in reviewing scientific literature or clinical guidelines
• Prior exposure to AI evaluation, annotation, peer review, or expert content assessment

Additional Information

This role operates on a 1099 contract basis with flexible scheduling and is compensated per project, with hourly rates estimated based on expected time commitments. Consultants supply their own equipment and may work for multiple clients concurrently within permitted terms. This position is limited to experts based in the United States.

Data Security

Consultants are expected to comply with LinkedIn's data security and privacy policy while engaging in this project.