机器人专家
Robotics Expert
薪资：每小时50-90美元（美元）。
职位名称：机器人专家
职位类型：承包商
工作地点：远程
micro1 正在招募机器人专家，参与一个专注于机器人系统的视频标注项目。该职位的核心是观看视频并准确标注。您将查看机器人手臂执行任务的视频，并根据详细指南对每个会话进行标记。您将使用机器人知识判断机器人是否正确完成任务。无需人工智能经验——您的技术背景才是关键。
工作范围
1. 观看机器人手臂执行任务的视频记录，并按照详细指南进行标注。
2. 标记每个视频会话中的动作、事件和错误，标明每个动作的开始和结束位置。
3. 判断机器人是否正确完成任务，并标注失败情况，如未抓取、物品掉落、路径不佳或定位不准确。
4. 在每个会话中以相同方式应用标注规则，确保数据一致性。
5. 遇到不清楚或有争议的情况时，向项目经理报告而非猜测，并协助解决。
6. 利用您对机器人运动、感知、传感器和集成的知识，解释机器人失败的原因。
7. 当发现标注指南存在漏洞或重复混淆时，提出改进建议。
8. 按时且在要求的质量水平下完成指定的标注工作量。
优先资格
1. 机器人、机械工程、电子工程或相关技术领域的背景。
2. 在工业、研究或实验室环境中，有机器人手臂或机器人系统的实际操作经验。
3. 对机器人运动控制、抓取、感知和传感器有扎实的理解。
4. 能够仅通过观看视频区分正确的和故障的机器人行为。
5. 注重细节，能在长时间观看相似视频时保持一致性。
6. 能够精确遵循书面技术指南。
7. 具备清晰的书面和口头沟通能力，以便与远程团队合作。
8. 有视频标注或数据标注经验者优先，但非必需。
查看英文原文
**Pay:** $50-$90 per hour (USD).
**Role Title: Robotics Expert**
**Role Type: Contractor**
**Location: Remote**
micro1 is engaging Robotics Experts to work on a video annotation project focused on robotic systems. The core of this role is watching video and labeling it accurately. You'll review footage of robotic arms performing tasks and tag what happens in each session, using your robotics knowledge to judge whether the robot did the job correctly. No prior AI experience is required — your technical background is what matters.
**Scope of Work**
1. Watch video recordings of robotic arms performing tasks and annotate them following a detailed set of guidelines.
2. Tag actions, events, and errors in each video session, marking where each action starts and ends.
3. Judge whether the robot completed the task correctly, and label failures such as missed grasps, dropped objects, poor paths, or inaccurate positioning.
4. Apply the labeling rules the same way across every session so the data stays consistent.
5. Flag unclear or borderline cases to project managers instead of guessing, and help resolve them.
6. Use your knowledge of robot motion, perception, sensors, and integration to explain what went wrong when a robot fails.
7. Suggest improvements to the annotation guidelines when you find gaps or repeated confusion.
8. Complete assigned annotation volume on time and at the required quality level.
**Preferred Qualifications**
1. Background in robotics, mechanical engineering, electronics engineering, or a related technical field.
2. Hands-on experience with robotic arms or robotic systems, whether in industry, research, or lab settings.
3. Solid understanding of robot motion control, grasping, perception, and sensors.
4. Able to tell the difference between correct and faulty robot behavior just by watching it.
5. Strong attention to detail and the patience to stay consistent across long sessions of similar footage.
6. Comfortable following written technical guidelines precisely.
7. Clear written and verbal communication for working with a remote team.
8. Previous video annotation or data labeling experience is a plus, but not required.