$200/hrAs published by the platform.
This role asks board-certified endocrinologists to assess how accurately AI systems answer clinical questions in endocrinology. Reviewers compare each answer against a de-identified patient chart and current standards of care, then judge which of two responses is stronger. It suits practicing physicians who want flexible, part-time remote work.
$200/hr
Pay as published by the platform. It is not a guarantee of income or hours.
Open to residents of: United States.
You apply on work.mercor.com: create a profile, complete a skills assessment, then get matched to projects that fit your background.
Official posting: https://work.mercor.com/jobs/list_AAABoWtwGWHBJHEIwBFOP4OG/endocrinologist
Last checked on October 27, 2026.
This role asks practicing dermatologists to review answers that health AI models give to dermatology questions. Reviewers check each answer against a de-identified patient chart for clinical accuracy and safety, then judge which of two responses is stronger. It suits board-certified dermatologists who want to shape how clinicians and patients will rely on these tools.
Posted October 24, 2026
This remote, hourly role asks practicing infectious disease physicians to assess AI-generated answers to clinical questions. Reviewers check each response against de-identified patient charts and judge its accuracy, safety and alignment with current standards of care. It suits board-certified infectious disease specialists who want to help shape clinical AI tools.
Posted October 24, 2026
This project-based role involves reviewing pre-generated health scenarios used to train AI health assistants. Reviewers rate how realistic each scenario is and how much safety risk it carries, then strengthen weak or missing constraints. It is aimed at generalist doctors and experienced nurses with strong patient-facing experience who can tell authentic care-seeking situations from generic ones.
Posted February 5, 2026
This remote, hourly contract asks you to review and grade AI-generated content about healthcare data, electronic health record systems, and clinical workflows. The work helps AI labs make their models more accurate on medical information. It suits health informatics professionals who can judge clinical and technical accuracy and explain their feedback in writing.
This remote contract role asks public health graduates to bring their domain knowledge to AI training. The work involves building realistic population health scenarios, writing evidence-based reference answers, and reviewing AI-generated health advice for accuracy, logic, bias, and ethics. It suits independent, self-directed specialists who can explain health data clearly, and no prior AI experience is required.
This role involves evaluating how well AI models reason through cardiology cases, identifying errors in clinical judgment that could harm patients. Cardiologists will write prompts to test AI reasoning, review AI outputs for accuracy against current guidelines, and provide correct answers when the model errs, serving as the training signal for AI improvement.
