Medical General Expert - Remote

YO IT Consulting; Toronto; On-site; CAD 82,656 - 110,208; Part time

Job summary

YO IT Consulting is seeking a Medical Specialist to work remotely on an hourly basis. The role involves reviewing AI-generated medical responses and generating expert healthcare content, ensuring accuracy and clarity. Candidates must have a Bachelor’s degree in Medicine or a related field, and at least 5 years of professional experience.

Your healthcare expertise will improve AI models, making clinical and public health reasoning more reliable. A strong understanding of disease processes and public health principles is essential.

Qualifications

• 5+ years of professional experience in Nursing or Public Health.
• Strong grounding in Epidemiology, Clinical Medicine, and Patient Care.
• Minimum C1 English proficiency required.

Responsibilities

• Develop AI Training Content: Create prompts to guide AI learning.
• Optimize AI Performance: Evaluate and rank AI responses.
• Ensure Model Integrity: Test AI models for inaccuracies.

Skills

Clinical reasoning

Attention to detail

Fact-checking medical content

Understanding of public health principles

Medical terminology

Education

Bachelor’s degree in Medicine, Nursing, Public Health, Health Sciences, or Allied Health

Job description

Job Title: Medical Specialist

Job Type: Contractor

Location: Remote

Role Description

In this hourly, remote contractor role, you will review AI-generated medical responses and/or generate expert healthcare content, evaluating reasoning quality and step-by-step clinical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in clinical methodology or conceptual understanding; fact-check medical information; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with a fast-growing AI Data Services company and subsidiary of delivering training data for many of the world’s largest AI companies and foundation-model labs. Your healthcare expertise directly helps improve the world’s premier AI models by making their clinical and public-health reasoning more accurate, reliable, and clearly explained.

Your Profile

• Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health, with strong grounding in Epidemiology, Clinical Medicine, Healthcare Systems, and Patient Care.
• 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health.
• Confident in clinical reasoning (differential diagnosis, risk stratification, red-flag recognition) and explaining why a conclusion follows from the evidence.
• Strong understanding of disease processes, patient care concepts, public health principles, healthcare systems, and medical terminology.
• Exceptional attention to detail when fact-checking medical content and identifying unsafe assumptions, missing contraindications, or misinterpretation of tests; Minimum C1 English proficiency.
• Comfortable evaluating answers for internal consistency (timelines, physiology, dosing logic), appropriateness for setting (ED vs outpatient), and patient safety implications.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Previous experience with AI data training/annotation, clinical documentation review, utilization review, or healthcare editorial QA is strongly preferred.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the models accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.