Project Cursa - Robot Manipulation Video Annotator
关于角色 我们正在寻找细节导向的注释器来帮助标签机器人操纵视频用于人工智能培训目的。你将观看执行操作任务 （从三个同步摄像头角度拍摄）的机器人的短视频，并制作出所发生的活动的精确，结构化，自然语言描述。这项工作直接支持机器人人工智能模型的开发，需要强有力的写作英语，敏的观察技能和遵循详细风格指南的纪律。你会做什么？·观看短视频，每个视频由三个同步的摄像头视图 （一张空中视图和机器人的两个手腕部装摄像头）拍摄。·将每段视频分为时间段并写出清晰的自然语言描述。·对每个适用的细节应用三级详细标签：· ·原子运动 （几秒钟）单小动作 （例如"紧握着红色指"）·技能/子任务 （几个秒到 ~20秒）一个完整的有意义的行动 （比如",把红色块从边缘上拿起来"）·任务 /目标 （高达1分钟）?? 一系列技能的总体目的 （比如"把所有块放在容器里"）. ·确保视频的每一刻都被两个或多个级别的标签覆盖 没有空隙，包括休息或暂停时。·准确描述发生什么事，包括当某件事不按计划 （落下物体，抓住失败，抓住滑动）.精度比让机器人看起来成功更重要。·交叉参考三种摄像头角度：使用上层视图来了解整个场景和物体身份，以及近距离手腕视图以确认确切接触和抓取细节。· 遵循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。· 与团队和客户参考示例保持定期校准会议进行参与。我们需要什么：·强烈写的英语 你每视频都会写几十个短精确的描述句子，并且需要更改你的语言而不是重复相同的单词。· 敏捷关注细节差异 能够区分小问题 （成功抓取与乱，拖拉与拖拉，具体触摸的是哪些对象部分）. · 经过详细的结构化工作后，提供舒适性。
查看英文原文
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.
What You'll Do
- 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).
- Break each video into time segments and write clear, natural-language descriptions for each segment.
- 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")
- Ensure every moment of video is covered by a label at two or more of these levels — no gaps, including idle or pause moments.
- 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.
- 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.
- Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement, applying it consistently across many episodes.
- Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.
What We're Looking For
Required:
- 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.
- 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).
- Comfort following a detailed, structured style guide and applying it consistently, even in ambiguous or edge-case scenarios.
- Basic comfort with spatial/mechanical description (left/right, above/below, naming object parts like handles, lids, or edges).
- Reliable, self-directed work habits — this is often heads-down work with periodic check-ins rather than close supervision.
Nice to Have:
- Prior experience with video annotation, data labeling, transcription, or QA work.
- Familiarity with robotics terminology (grippers, end-effectors, manipulation) — helpful but not necessary, as the style guide is self-contained.
- Experience with annotation tools such as Label Studio.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Originally posted on Himalayas