Micro1 review · AI Training & Data Labeling
Mechanical Engineer (Video Annotation) — micro1
What the work involves
micro1 is looking for Mechanical Engineers with 2+ years of experience to support a customer project focused on training advanced AI and robotics systems. You'll review and annotate videos involving robots, mechanical systems, tools, components, and physical interactions — no previous AI experience is required, as your engineering knowledge is what ensures the annotations are technically accurate and useful for AI training.
Day to day, you'll annotate and label objects, movements, actions, components, and mechanical interactions in video, spotting the details that matter — motion, positioning, component behavior, task sequences. You'll also review existing annotations for accuracy and completeness, flag incorrect or unclear ones using your engineering judgment, follow project standards carefully, and give feedback on difficult or ambiguous examples.
What you'll do
- Review videos showing robotic systems, mechanical components, tools, and physical tasks
- Annotate and label objects, movements, actions, components, and mechanical interactions within videos
- Identify important mechanical details such as motion, positioning, component behavior, and task sequences
- Review video annotations for accuracy, consistency, and completeness
- Use your mechanical engineering knowledge to identify incorrect or unclear annotations
- Follow project guidelines and annotation standards carefully
- Provide feedback on difficult or ambiguous video examples
- Work independently and complete assigned annotation tasks within project timelines
Requirements & eligibility
- 2+ years of experience in Mechanical Engineering, Mechanical Design, Manufacturing, Robotics, or a related field
- Good understanding of mechanical components, tools, machines, and physical systems
- Ability to understand how mechanical parts and systems move and interact
- Experience with CAD tools such as SolidWorks, NX, Creo, or CATIA is a plus
- Exposure to robotics, automation, manufacturing, or industrial equipment is preferred
- Strong attention to detail and ability to identify small differences in video content
- Good written English and ability to follow detailed instructions
- Previous experience with video annotation, data labeling, AI training, or computer vision projects is a plus, but not required
How to apply
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