Dentist
角色标题：人工智能训练牙医 职位类型：承包商位置：远程微1正在聘请经验丰富的牙医参与客户项目 AI 数据培训机会。在这个角色中，你将应用自己的专业知识来帮助训练下一代 AI 系统。你的工作将通过高质量的现实世界输入塑造模型学习，推理和表现的方式。不需要先前在 AI 的经验。领域知识是重要的。工作范围 ·分析，注释和标签临床牙科数据以支持人工智能模型开发。·评估对准确性，临床相关性和工作流动现实的产品来自牙科 AI 模型。·提供数字牙科专家见解，包括 CAD/CAM 工作流程，数字成像和治疗规划软件。·审查并验证用于机器学习任务的牙医图表，成像和案例场景。·与跨功能项目团队合作以澄清牙科学实践和软件使用。·提供结构化反和指导来帮助完善和增强人工智能驱动的牙科应用程序。首选资格 ·执照手术 （DDS,DMD 或国际公认等级）. ·经验证明临床牙科软件 （实践管理，数字成形，CAD/Cam 或治疗计划解决方案）的经验。· 之前参与人类数据项目 （数据标签，注释，RLHF,评估或类似任务）. · 对数字牙科工作流程和技术的全面理解。· 强大的分析技能和对数据审查和注释细节的关注。· B2级以上的英语语言熟练。· 以远程，基于软件的项目参与和虚拟合作提供舒适性。最初发布在喜马拉雅山脉。
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Role Title: Dentist for AI training
Role Type: Contractor
Location: Remote
micro1 is engaging experienced dentists to participate in AI data training opportunities for a customer’s 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.
Scope of Work
- Analyze, annotate, and label clinical dental data to support AI model development.
- Evaluate outputs from dental AI models for accuracy, clinical relevance, and workflow realism.
- Provide expert insights on digital dentistry, including CAD/CAM workflows, digital imaging, and treatment planning software.
- Review and validate dental charting, imaging, and case scenarios for use in machine learning tasks.
- Collaborate with cross-functional project teams to clarify dental practices and software usage.
- Deliver structured feedback and guidance to help refine and enhance AI-driven dental applications.
Preferred Qualifications
- Licensed dentist (DDS, DMD, or internationally recognized equivalent).
- Proven hands-on experience with clinical dental software (practice management, digital imaging, CAD/CAM, or treatment planning solutions).
- Prior involvement in human data projects (data labeling, annotation, RLHF, evaluation, or similar tasks).
- Comprehensive understanding of digital dentistry workflows and technologies.
- Strong analytical skills and attention to detail for data review and annotation.
- English language proficiency at B2 level or above.
- Comfort with remote, software-based project participation and virtual collaboration.
Originally posted on Himalayas