视频标注员
Video Annotator
视频标注员
地点：完全远程 工作时间：全职，远程
查看The Global Talent Co.的人才网络：https://www.globaltalent.co/network
职位简介
我们正在寻找注重细节的视频标注员，以支持视觉-语言-动作（VLA）数据集项目。在这一职位中，您将观看物理任务/活动的短视频片段，并通过将每个视频分割成有意义的步骤，编写清晰、精确的自然语言说明，描述每个片段中发生的动作。
主要职责
- 在开始标注前完整观看分配的视频，以理解整体任务和上下文。
- 根据可见的动作边界，将每个视频分割成离散、逻辑明确的步骤/事件。
- 为每个片段编写清晰、简洁且语法正确的分步描述，准确反映屏幕上的内容。
- 确保标注具有行动导向性，无歧义，并在数据集中保持时态、语气和措辞的一致性。
- 为每个片段分配准确的起止时间戳。
- 遵循项目团队提供的标注指南、分类体系和风格指南。
- 标记不清晰、损坏、错误标记或其他不适合标注的视频。
- 参与校准会议，并根据评审/QA反馈改进标注质量和一致性。
- 在不影响准确性的情况下，满足每日/每周的生产力和质量目标。
- 保守所有项目数据和材料的机密性。
必备资格
- 英语水平：C1级（CEFR）或以上——对语法、词汇和句子结构有很强的掌握是必要的。
- 出色的细节关注度，能够发现视觉场景中的细微变化。
- 强大的书面沟通能力；能够简洁准确地描述动作。
- 能够使用基于视频的工具和标注软件（提供培训）。
- 能够独立工作，遵循详细指南，并在重复性任务中保持一致性。
- 可靠的互联网连接，以及具备现代浏览器的电脑访问权限。
- 基础的计算机技能（文件处理、基于网络的工具、电子表格）。
优先考虑的资格
- 具有数据标注、标记、转录或内容审核方面的经验。
- 熟悉AI/ML概念，尤其是计算机视觉、NLP或机器人学数据集。
- 有撰写指令的经验
查看英文原文
VIDEO ANNOTATOR
Location: Fully Remote Schedule: Full-Time, Remote
Check out The Global Talent Co.’s talent network: https://www.globaltalent.co/network
ABOUT THE ROLE
We are looking for detail-oriented Video Annotators to support a Vision-Language-Action (VLA) dataset project. In this role, you will watch short video clips of physical tasks/activities and produce event-level annotations by segmenting each video into meaningful steps and writing clear, precise natural-language instructions describing the action taking place in each segment.
KEY RESPONSIBILITIES
- Watch assigned videos in full before beginning annotation to understand the overall task and context.
- Segment each video into discrete, logical steps/events based on visible action boundaries.
- Write clear, concise, and grammatically correct step-by-step descriptions for each segment, accurately reflecting what is happening on screen.
- Ensure annotations are action-oriented, unambiguous, and consistent in tense, tone, and phrasing across the dataset.
- Assign accurate start and end timestamps for each segment.
- Follow annotation guidelines, taxonomies, and style guides provided by the project team.
- Flag videos that are unclear, corrupted, mislabeled, or otherwise unsuitable for annotation.
- Participate in calibration sessions and incorporate reviewer/QA feedback to improve annotation quality and consistency.
- Meet daily/weekly productivity and quality targets without compromising accuracy.
- Maintain confidentiality of all project data and materials.
REQUIRED QUALIFICATIONS
- English Proficiency: C1 level (CEFR) or above — strong command of grammar, vocabulary, and sentence construction is essential.
- Excellent attention to detail and ability to spot subtle changes in visual scenes.
- Strong written communication skills; ability to describe actions concisely and precisely.
- Comfort working with video-based tools and annotation software (training provided).
- Ability to work independently, follow detailed guidelines, and maintain consistency over repetitive tasks.
- Reliable internet connection and access to a computer with a modern browser.
- Basic computer literacy (file handling, web-based tools, spreadsheets).
PREFERRED QUALIFICATIONS
- Prior experience in data annotation, labeling, transcription, or content moderation.
- Familiarity with AI/ML concepts, especially computer vision, NLP, or robotics datasets.
- Experience writing instructional or procedural content (how-to guides, SOPs, recipes).
- Exposure to annotation platforms (e.g., CVAT, Label Studio, Scale, or similar tools).
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