AI Video Annotator
关于角色 我们正在寻找细节导向注释器，以帮助标签机器人操纵视频用于人工智能培训目的。你将观看机器人的短视频执行操纵任务 （从三个同步摄像头角度拍摄）并制作的行动的精确，结构化，自然语言描述。这项工作直接支持机器人 AI 模型的开发，需要强有力的书面英语，敏的观察技能和学科来遵循详细的风格指南。项目详情：· 职位名称：项目课程 - 机器人操作视频注释器 · 地点：印度/菲律宾 /埃及/墨西哥 • 离远处类型：自由职业 · 付费率：3.5美元/小时 你会做什么 1. 从三个同步相机视图中拍摄的短片无人机操纵视频，每个视频由三个同步相機视图 （一张空头视图和来自机器人的两个手腕安装的相机）拍摄。2. 分成每部视频时间段并为每个段写明确的自然语言描述。3. 对每个适用的段进行三级细节标签：- 原子运动 （几秒钟）一个小动作 （例如"围绕红色柄紧握手指"）- 技能 /子任务 （几个秒到 ~ 20秒）一个完整的有意义的活动 （比如",通过边缘取起红色块"）. 确保视频每一刻都被两个或多个级别的标签覆盖。5. 准确描述发生什么，包括当某事不按计划 （落下物体，抓住失败，抓住滑动）.精度比让机器人看起来更成功重要。6. 交叉参考三种摄像头角度：使用空端视图来了解整个场景和物体身份，并通过近距离观测确认接触和抓取详细信息。7. 按照一个详细的风格指南，涵盖行动词汇，空间关系，对象描述和运动方式，在许多节目中一致地应用它。8.参加定期校准会议以与团队和客户参考示例保持一致。我们正在寻找什么：1.强烈写字英语你每视频都会写几十个短精确的描述句子，并且需要改变你的语言而不是重复相同的单词。2.敏捷注意
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About the Role
We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You'll watch short videos of robots performing manipulation tasks (filmed from three synchronized camera angles) and produce precise, structured, natural-language descriptions of the actions taking place. This work directly supports the development of robotics AI models and requires strong written English, sharp observational skills, and the discipline to follow a detailed style guide consistently.
Project Details:
- Job Title: Project Cursa - Robot Manipulation Video Annotator
- Location: Remote in India/Philippines/Egypt/Mexico
- Employment type: Freelance
- Pay Rate: US$3.5/hour
What You'll Do
1. Watch short robot manipulation videos, each filmed from three synchronized camera views (an overhead view and views from each of the robot's two wrist-mounted cameras).
2. Break each video into time segments and write clear, natural-language descriptions for each segment.
3. Apply labels at three levels of detail for each applicable segment:
- Atomic motion (a few seconds) — a single small movement (e.g., "close fingers around the red handle")
- Skill / subtask (several seconds to ~20 seconds) — a complete, meaningful action (e.g., "pick up the red block by its edge")
- Task / goal (up to ~1 minute) — the overall purpose of a sequence of skills (e.g., "place all blocks in the container")
4. Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.
5. Accurately describe exactly what happens, including when something doesn't go as planned (a dropped object, a failed grasp, a slipped grip). Precision matters more than making the robot look successful.
6. Cross-reference all three camera angles: use the overhead view to understand the overall scene and object identity, and the close-up wrist views to confirm exact contact and grasp details.
7. Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.
8. Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.
What We're Looking For
Required:
1. Strong written English — you'll write dozens of short, precise descriptive sentences per video and need to vary your language rather than repeating the same phrases.
2. Sharp attention to detail — able to distinguish small differences (a successful grasp vs. a fumble, a push vs. a drag, which specific object part is being touched).
3. Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.
4. Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).
5. Reliable, self-directed work habits — this is often heads-down work with periodic check-ins rather than close supervision.
Nice to Have:
1. Prior experience with video annotation, data labeling, transcription, or QA work.
2. Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.
3. Experience with annotation tools such as Label Studio.
Originally posted on Himalayas