数据标注员 | 远程 - 合同制
Data Annotator | Remote - Contract
职位名称：数据标注员
职位类型：合同工
工作地点：远程
我们正在寻找数据标注员参与一个以高影响力数据标注为核心的动力客户项目。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。您的工作将影响模型的学习、推理和表现方式，通过高质量的真实输入数据。无需人工智能相关经验——您的专业领域知识才是关键。此机会主要涉及音频和视频样本的详细标注，需要细致的关注力和英语沟通能力。
所需技能
- 数据标注
- 注重细节
工作范围
- 按照详细的项目特定指南，精确标注和标记音频和视频内容。
- 审核并验证现有标注，确保数据集的一致性和质量。
- 识别、标记并纠正提供的数据样本中的歧义或错误。
- 记录标注决策并保持清晰的记录，以确保可追溯性和项目透明度。
- 通过书面和口头方式与项目负责人和同事协作，解决疑问并统一最佳实践。
- 在保持高标注准确率的同时，完成规定的交付成果和截止日期。
- 提供关于标注流程的见解和反馈，以促进持续的工作流程改进。
优先资格
- 在数据标注方面有显著经验，尤其是音频和视频媒体。
- 非常注重细节，具有强烈的质量控制意识。
- 具备良好的英语书面和口语沟通能力。
- 有处理多种数据类型并适应不断变化的标注指南的经验。
- 具备良好的组织能力，并能记录和阐述标注依据。
- 熟悉数据标注工具或平台者优先。
- 有提供建设性反馈以优化标注流程的经验者优先。
最初发布于喜马拉雅
查看英文原文
Role Title: Data Annotator
Role Type: Contractor
Location: Remote
We are engaging Data Annotators to contribute expertise on a dynamic customer project focused on high-impact data annotation. 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. This opportunity centers on detailed annotation of audio and video samples, requiring careful attention to detail and proficiency in English.
Required Skills
- Data Annotation
- Attention to detail
Scope of Work
- Annotate and label audio and video content with precision, following detailed project-specific guidelines.
- Review and validate existing annotations to ensure consistency and quality across datasets.
- Identify, flag, and correct ambiguities or errors in provided data samples.
- Document annotation decisions and maintain clear records for auditability and project transparency.
- Collaborate with project leads and peers via written and verbal channels to resolve queries and align on best practices.
- Meet defined deliverables and deadlines while maintaining high annotation accuracy.
- Provide insights and feedback on annotation processes to contribute to ongoing workflow improvements.
Preferred Qualifications
- Demonstrated expertise in data annotation, particularly with audio and video media.
- Exceptional attention to detail and a strong sense of quality control.
- Proficiency in written and verbal English communication.
- Experience working with diverse data types and adapting to evolving annotation guidelines.
- Strong organizational skills and the ability to document and articulate annotation rationales.
- Familiarity with data labeling tools or platforms is advantageous.
- Experience providing constructive feedback to enhance annotation workflows is a plus.
Originally posted on Himalayas