Medical General Expert

SME Careers; Brasil; Remote; BRL 96,000 - 165,000; Part time

Job summary

SME Careers is seeking an experienced healthcare professional to work as an hourly, remote contractor. You will review AI-generated medical responses and create expert content while assessing reasoning quality, accuracy, and safety.

You will provide detailed feedback, identify errors in clinical methods, and write high-quality explanations to improve AI models. Applicants should have a medical degree or allied health background, 5+ years of relevant experience, and strong English proficiency

Qualifications

• Hold a professional healthcare degree (MD/DO, Nursing, MPH, Health Sciences or allied health).
• At least 5 years of professional experience in nursing, public health, health sciences or related fields.
• Demonstrate strong clinical reasoning and ability to explain conclusions with evidence.

Responsibilities

• Review AI-generated medical responses and generate expert healthcare content.
• Evaluate reasoning quality, provide precise written feedback and model solutions.
• Rate and compare responses for accuracy, clarity, and adherence to prompts.

Skills

Clinical reasoning

Medical knowledge

Public health principles

English proficiency (C1)

Quality feedback

Education

MD/DO

Nursing

MPH

Health Sciences

Allied Health

Tools

AI data training

Clinical documentation review

Healthcare editorial QA

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.