出海雷达

普通临床医生(MD/DO)- HLS专家库

General Clinician (MD/DO) - HLS Expert Pool

其他限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Mercor
薪资$150/小时
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型contract
发布时间21 天前
数据来源4dayweek.io
前往 4dayweek.io 查看并投递 →
注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

薪资:每小时150美元(美元)。

## 关于该职位

Mercor正在为非临床工作招聘各专科的住院医师培训过的医生,用于开发和评估临床AI系统。您将运用您的临床判断力,参与评分标准制定、对话评估以及结构化标注工作,这些工作决定了这些系统如何被评估。

这是一个**非临床职位**——不涉及直接的患者护理,也不承担实时诊断的责任。

**这是一个共享专家资源池。** 在入职后,您可能会根据您的专科、可用性和兴趣,被分配到多个同时进行的临床工作流中的任何一个。您不需要承诺单一项目,也可以根据优先级的变化在不同工作流之间切换。

## 您可能参与的工作

工作内容因工作流而异,可能包括:

- **评分标准制定** —— 将一个临床问题分解为可检查的离散标准,这样模型的回答可以一致地评分,而不是凭直觉。

- **临床对话评估** —— 审查多轮临床对话,并判断其准确性、安全性、完整性、适当的谨慎表达,以及是否给出了正确的升级建议。

- **临床推理标注** —— 记录您如何处理一个病例,包括您考虑过并排除的鉴别诊断,而不仅仅是结论。

- **输出审查** —— 标记幻觉发现、危险的遗漏、无支持的确定性,以及技术上正确但临床上不安全的建议。

- **指南编写** —— 为您的专科定义边缘情况和护理标准,以确保大量临床医生的标注保持一致。

- **复杂病例编写** —— 构建能够测试当前模型推理极限的临床问题。

工作时长因工作流而异,从对话评估约45分钟到评分标准制定可能需要一小时或更久。您将获得所分配工作流的具体产出目标。

## 必要资格

- **医学博士(MD)或骨科医学博士(DO)**,任何专科的**已完成住院医师培训**

- 在您执业国家拥有**有效且无限制的医疗执照**

- **3年以上住院医师后的临床经验**,目前或以前从事临床工作

- 能够撰写结构化的临床推理,使非专科评审者可以理解

- 英语书面和口语流利

- **每周至少20小时**,具备灵活的工作时间

查看英文原文

**Pay:** $150 per hour (USD).

## About the Role

Mercor is hiring **residency-trained physicians** across specialties for non-clinical work developing and evaluating clinical AI systems. You will apply your clinical judgment to grading-criteria development, dialogue evaluation, and structured annotation work that determines how these systems are measured.

This is a **non-clinical role** — no direct patient care, and no responsibility for live diagnosis.

**This is a shared expert pool.** After onboarding you may be matched to any of several concurrent clinical workstreams based on your specialty, availability, and interest. You are not committing to a single project, and you may move between streams as priorities shift.

## What you may work on

Work varies by workstream and may include:

- **Grading criteria development** — taking a clinical question and breaking the ideal answer into discrete, checkable criteria, so a model response can be graded consistently rather than impressionistically.

- **Clinical dialogue evaluation** — reviewing multi-turn clinical conversations and judging them for accuracy, safety, completeness, appropriate hedging, and whether escalation advice was correct.

- **Clinical reasoning annotation** — recording how you would work through a case, including the differential you considered and rejected, not only the conclusion.

- **Output review** — flagging hallucinated findings, dangerous omissions, unsupported certainty, and advice that is technically correct but clinically unsafe.

- **Guideline authoring** — defining edge cases and standards of care for your specialty so annotation stays consistent across a large group of clinicians.

- **Difficult-case writing** — constructing clinical questions that probe the limits of current model reasoning.

Task length varies by stream, from roughly 45 minutes for a dialogue evaluation up to an hour or more for grading-criteria authoring. You will get a specific throughput target for whichever stream you are matched to.

## Required qualifications

- **MD or DO** with a **completed residency** in any specialty

- **Active, unrestricted medical license** in your country of practice

- **3+ years post-residency** clinical experience, practising or previously practising

- Comfort writing structured clinical rationale that a non-specialist reviewer can follow

- Written and spoken English fluency

- **Minimum 20 hours per week**, with the ability to concentrate hours when a stream is time-boxed

## Preferred qualifications

- Board certification in your specialty

- **U.S. licensure**, and familiarity with U.S. standards of care and clinical guidelines

- Primary care, internal medicine, emergency medicine, or hospitalist background, where breadth of presentation matters most

- Prior clinical annotation, AI evaluation, medical education, or question-writing experience

- Grading-criteria design, resident assessment, or clinical guideline development experience

- Published research or sustained technical writing (please link a sample)

## Why this work

Most clinical AI failures are not exotic — they are ordinary questions answered with misplaced confidence. Catching that requires someone who has actually carried clinical responsibility. The standard these systems get held to is written by physicians, and here you would be writing it.

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