Medical General Expert

AI Trainer Jobs; United States; Remote; USD 102,000 - 146,000; Part time

Job summary

SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, seeks medical experts to review and craft AI-generated clinical content. You will assess reasoning, explain solutions, and provide high-quality explanations to improve AI model performance.

Requirements include MD/DO or equivalent with 5+ years in Nursing/Public Health/Allied Health, strong clinical reasoning, and fluent English.

Qualifications

• Bachelor’s degree (or higher) in Medicine (MD/DO), Nursing, Public Health (MPH), Health Sciences, or Allied Health.
• 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health.
• Confident in clinical reasoning and explaining conclusions from evidence.
• Strong understanding of disease processes, patient care concepts, and medical terminology.
• Minimum C1 English proficiency and careful fact-checking of medical content.

Responsibilities

• Develop AI training content by creating prompts and expert responses across topics.
• Evaluate, rank, and improve AI responses for accuracy, fluency, and relevance.
• Test AI models for inaccuracies, validate reliability across use cases, and ensure patient safety.

Skills

Epidemiology

Clinical Reasoning

Disease Processes

English

Evidence-Based Medicine

Public Health

Healthcare Systems

Medical Terminology

Risk Stratification

Patient Care

Education

Bachelor's degree in Medicine (MD/DO) or related field

Job description

Pay: up to $90/hour

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 SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, 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.

Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

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 model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Requirements

• 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.

Skills: Epidemiology, Clinical Reasoning, Disease Processes, English, Evidence-Based Medicine, Public Health, Healthcare Systems, Medical Terminology, Risk Stratification, Patient Care

Open to candidates in: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, The Philippines, The United States, Timor Leste, Vietnam

Interview language: English