Robotics Generalist - Motion Data Contributor

**Robotics Generalist

• Motion Data Contributor**

Join our customers' team as a Robotics Generalist

• Motion Data Contributor and play a central role in shaping the future of activity recognition The team needs U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models

Details

• Job type: Contractor
• Location: Remote, based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin

Day-to-day

• Capture precise motion data using your smartphone's sensor suite (IMU) during specified physical tasks
• Record synchronized video footage to validate and enhance the integrity of collected sensor data
• Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards
• Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration
• Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes
• Ensure timely and reliable delivery of data outputs in accordance with project milestones
• Participate in required device compatibility checks and a custom AI-enabled interview process

You bring

• Apply
• Videos must be at least 2 minutes in length
• Experts must submit a minimum of 10 hours of video per week
• Key
• Demonstrated adherence to standardized protocols and rigorous technical instructions
• Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment
• Strong written and verbal communication skills; ability to document work and collaborate remotely

Bonus

• Background in robotics, kinesiology, sensor-based data collection, or related technical fields. Prior experience with activity segmentation or human motion
• Analysis:projects
• Familiarity with labeling and structuring large datasets for machine learning
• Additional Information: Applications close April 16, EOD