机电工程师
Mechatronics Engineer
薪资：每小时50-90美元（美元）。
职位名称：机电工程师
职位类型：合同工
工作地点：北美洲、拉丁美洲、欧洲、英国、大洋洲。
micro1 正在招募机电工程师，为客户的先进机器人计划中的专业视频标注项目做出贡献。
在这个职位中，你将运用你的专业知识帮助训练下一代人工智能系统。你的工作将影响模型如何学习、推理和执行，通过高质量的现实世界输入。
你将审查机器人臂执行复杂任务的视频片段，并根据提供的评分指南对会话进行标记。
工作范围
1. 审查机器人臂执行各种工业任务的录制视频会话。
2. 根据提供的评分和标注指南对每个会话进行标记、分类和评论。
3. 识别、记录并分类视频中观察到的机械或控制问题。
4. 利用对机器运动的专业理解，确定操作故障或效率低下的原因。
5. 确保所有标注精确、全面，并符合项目标准，以提升人工智能训练质量。
6. 在需要时与项目协调员合作，澄清指南或视频内容中的模糊之处。
7. 在项目制定的框架和时间表内，提供一致且高质量的标注。
优先资格
1. 机电工程或相关专业的职业背景。
2. 具有视频标注或数据标注经验，尤其是针对机器人或工业自动化系统的经验。
3. 能够发现并解释复杂机械中的机械和控制问题。
4. 注重细节，有提供准确技术交付物的记录。
5. 理解机器为何以及如何失效，以及机器人运动的动力学。
6. 有支持人工智能训练或机器学习项目的经验者优先。
7. 能够独立工作，并在远程、异步的项目环境中交付成果。
查看英文原文
**Pay:** $50-$90 per hour (USD).
**Role Title: Mechatronics Engineer**
**Role Type: Contractor**
**Location: Northern America, Latin America, Europe, UK, Oceania.**
micro1 is engaging Mechatronics Engineers to contribute to a specialized video annotation project for a customer's advanced robotics initiative.
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.
You will review and annotate video footage of robotic arms performing complex tasks, tagging sessions based on provided grading guidelines.
**Scope of Work**
1. Review recorded video sessions of robotic arms executing various industrial tasks.
2. Apply provided grading and annotation guidelines to tag, classify, and comment on each session.
3. Identify, document, and categorize mechanical or control problems observed in the footage.
4. Utilize expert understanding of machine movement to pinpoint reasons for operational failures or inefficiencies.
5. Ensure all annotations are precise, comprehensive, and align with project standards to advance AI training quality.
6. Collaborate with project coordinators as needed to clarify ambiguities in guidelines or video content.
7. Deliver consistent, high-quality annotations within the framework and timeline established by the project.
**Preferred Qualifications**
1. Professional background in Mechatronics Engineering or closely related discipline.
2. Prior experience with video annotation or data labeling, especially for robotic or industrial automation systems.
3. Demonstrated ability to spot and interpret mechanical and control problems in complex machinery.
4. Strong attention to detail, with a record of producing accurate technical deliverables.
5. Understanding of why and how machines fail and the dynamics of robotic movement.
6. Experience supporting AI training or machine learning projects is highly preferred.
7. Ability to work autonomously and deliver results in a remote, asynchronous project environment.