- Watch video recordings of robotic arms performing tasks and annotate them following a detailed set of guidelines.
- Tag actions, events, and errors in each video session, marking where each action starts and ends.
- Judge whether the robot completed the task correctly, and label failures such as missed grasps, dropped objects, poor paths, or inaccurate positioning.
- Apply the labeling rules the same way across every session so the data stays consistent.
- Flag unclear or borderline cases to project managers instead of guessing, and help resolve them.
- Use your knowledge of robot motion, perception, sensors, and integration to explain what went wrong when a robot fails.
- Suggest improvements to the annotation guidelines when you find gaps or repeated confusion.
Requirements
- Background in robotics, mechanical engineering, electronics engineering,
or a related technical field.
- Hands-on experience with robotic arms or robotic systems, whether in industry, research, or lab settings.
- Solid understanding of robot motion control, grasping, perception, and sensors.
- Able to tell the difference between correct and faulty robot behavior just by watching it.
- Robust attention to detail and the patience to stay consistent across long sessions of similar footage.
- Comfortable following written technical guidelines precisely.
- Clear written and verbal communication for working with a remote team.
Application Process
- Easy Apply on LinkedIn
- Participate in resume evaluation & interview stage