数据标注员
Data Annotator
AI未标注地域
公司micro1
薪资未公开
工作地点Worldwide
地域资格未标注地域
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间2 天前
数据来源Himalayas
职位名称:数据标注员
职位类型:合同工
工作地点:远程
micro1 正在招募数据标注员,为以客户为导向的项目提供专业知识,专注于高质量的数据标注。在此职位中,您将运用专业知识帮助训练下一代人工智能系统。您的工作将通过高质量的真实数据输入,影响模型的学习、推理和表现方式。无需人工智能领域经验——您的专业领域知识才是关键。
工作范围
- 根据详细的项目指南和协议,精确标注视频和音频样本。
- 审核、验证并改进现有标注,以最大化数据的准确性和一致性。
- 识别、标记并记录边缘案例和模糊数据点,以便进一步澄清。
- 与项目协调员合作,明确标注标准并解决不确定性。
- 仔细记录已完成的标注,并在既定里程碑内提交交付成果。
- 对标注工具和工作流程提供反馈,以持续改进流程。
- 确保所有标注数据符合质量保证标准和项目要求。
优先资格
- 具有数据标注经验,尤其是视频和音频内容。
- 极高的细节关注度,以及对复杂数据任务的系统性处理方法。
- 英语书面和口头沟通能力熟练。
- 能够理解和执行高度具体的标注指令。
- 有在远程项目中独立工作的经验,监督较少。
- 强大的分析能力,能够对细微数据做出客观决策。
- 熟悉数据标注平台或标注工具(加分项)。
- 最初发布于喜马拉雅山
查看英文原文
Role Title: Data Annotator
Role Type: Contractor
Location: Remote
micro1 is engaging Data Annotators to contribute expertise to a client-driven project focused on high-quality data labeling. 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
- Precisely annotate video and audio samples according to detailed project guidelines and protocols.
- Review, validate, and enhance existing annotations to maximize data accuracy and consistency.
- Identify, flag, and document edge cases and ambiguous data points for further clarification.
- Collaborate with project coordinators to clarify annotation criteria and resolve uncertainties.
- Maintain meticulous records of completed annotations and submit deliverables within established milestones.
- Provide feedback on annotation tools and workflow for continuous process improvement.
- Ensure all annotated data meets quality assurance standards and project requirements.
Preferred Qualifications
- Demonstrated experience in data annotation, especially with video and audio content.
- Exceptional attention to detail and a methodical approach to complex data tasks.
- Proficiency in both written and verbal English communication.
- Ability to interpret and execute highly specific annotation instructions.
- Experience working independently on remote projects with minimal supervision.
- Strong analytical skills, with the ability to make objective decisions about nuanced data.
- Familiarity with data labeling platforms or annotation tools (a plus).
Originally posted on Himalayas
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