出海雷达

Bilingual Medical Doctor (Japanese)

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Micro1
薪资$125/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3 天前
数据来源4dayweek.io
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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。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

** 薪水:** 每小时125-$125 (美元). ** 角色标题:** 二语医生 (日本)** 角色类型:** 承包商 - 兼职,合同 (每周15小时分钟)** 地点:** 世界范围内微1正在聘请医学博士-医生专家为客户的先进医疗项目做出贡献。在这个角色中,你将应用自己的专业知识来帮助培训下一代人工智能系统。你的工作将通过高质量,实体输入塑造模型如何学习,推理和表现。在人工智能世界中没有必要的前经验。你将分析患者和操作数据以提高医疗保健结果,利用临床敏度来信息开发和完善支持医学决策和工作流程改进的智能系统。**工作范围** 1.分析并注释临床场景,病例和医疗保健数据以指导人工智能算法发展。2.审查和提供专家反 AI 生成的医疗内容,确保临床准确性和相关性。3.应用诊断分析,医学,生理学和卫生协议知识到各种数据集。4. 将复杂的临床术语和工作流转化为可行的指南用于 AI 模型培训。5. 与包括数据科学家和工程师在内的跨职业团队合作,以精细化项目目标和成果。6. 评估人工智能系统的产量,基于现实临床经验确定改进领域。7. 在所有项目的任务中保持高标准的数据安全,隐私和道德遵守。**优先资格** 1. 临床实践中的当前或最近经验 (考虑毕业生). 2. 在诊断分析,一般医学,临床协议和生理学方面的专业知识。3. 4. 强有力的临床术语掌握和能够在书面上和口头上沟通复杂概念的能力。5. 在临床和数据驱动的环境中表现出分析技能和细节注意力。6. 经验解释和使用电子健康记录,患者数据或医疗文档工作。7. 承诺通过创新技术来提供医疗保健的准确性,合规性和进步。8. 日本语言流利:JLPT N1或等级 (本土/近-na)

查看英文原文

**Pay:** $125-$125 per hour (USD).

**Role Title:** Bilingual Medical Doctor (Japanese)

**Role Type:** Contractor - Part-Time, contract (min. ~15 hrs a week)

**Location:** Remote, worldwide

micro1 is engaging Medical Doctor - Physician Experts to contribute to a customer’s advanced healthcare project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You will analyze patient and operational data to enhance healthcare outcomes, using your clinical acumen to inform the development and refinement of intelligent systems that support medical decision-making and workflow improvements.

**Scope of Work**

1. Analyze and annotate clinical scenarios, patient cases, and healthcare data to guide AI algorithm development.
2. Review and provide expert feedback on AI-generated medical content, ensuring clinical accuracy and relevance.
3. Apply knowledge of diagnostic analysis, medicine, physiology, and healthcare protocols to diverse data sets.
4. Translate complex clinical terminology and workflows into actionable guidance for AI model training.
5. Collaborate with cross-functional teams, including data scientists and engineers, to refine project objectives and deliverables.
6. Assess AI system outputs, identifying areas for improvement based on real-world clinical experience.
7. Maintain high standards of data security, privacy, and ethical compliance throughout all project tasks.

**Preferred Qualifications**

1. Current or recent experience in clinical practice with completion of residency (consideration for those in final year).
2. Expertise in diagnostic analysis, general medicine, clinical protocols, and physiology.
3. Preference for contributors from general specialties such as internal medicine, family practice, or emergency medicine; select subspecialties also welcome.
4. Strong command of clinical terminology and ability to communicate complex concepts in writing and verbally.
5. Demonstrated analytical skills and attention to detail in clinical and data-driven contexts.
6. Experience interpreting and working with electronic health records, patient data, or medical documentation.
7. Commitment to accuracy, compliance, and the advancement of healthcare through innovative technology.
8. Japanese language fluency: JLPT N1 or equivalent (native/near-native)
9. English proficiency: C1 or higher

**What to expect:**

1. AI Interview (~35 min),a short conversational screen to assess your experience and fit for the role.
2. Short questionnaire, if the interview goes well, we'll invite you to complete a brief follow-up to confirm fit and gather logistics.
3. Client review, strong candidates are shared with the client team for final selection.
4. Offer & onboarding,if selected, you'll receive an offer and begin onboarding. Expect to start your first tasks within 24–48 hours of receiving your credentials.

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