Medical General Expert

SME Careers; Pakistan; Remote; PKR 15,264,000 - 26,712,000; Full time

Job summary

SME Careers is seeking a medical expert to join as a remote hourly contractor to review AI-generated medical responses and create high-quality healthcare content. You will assess reasoning, accuracy, clarity, and provide precise written feedback, while writing model solutions that demonstrate correct clinical thinking.

Candidates must hold an MD/DO or equivalent and have 5+ years in Nursing, Public Health, Health Sciences, or Allied Health, with strong epidemiology and clinical medicine

Qualifications

• MD/DO or equivalent with strong clinical background
• 5+ years of professional experience in Nursing, Public Health, Health Sciences, or Allied Health
• Fluent English (C1) with clear scientific communication
• Experience in clinical reasoning and explaining conclusions
• Experience with AI data training or healthcare editorial QA is preferred

Responsibilities

• Develop AI Training Content: Create prompts and responses to guide AI learning across topics
• Optimize AI Performance: Evaluate and rank AI responses for accuracy and relevance
• Ensure Model Integrity: Test models for inaccuracies, biases, and safety implications

Skills

Clinical reasoning

Differential diagnosis

Risk stratification

Evidence explanation

Attention to detail

English proficiency

Education

MD/DO or equivalent

Public Health / Allied Health background

Job 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 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.

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

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.