Remote Robotics Motion Data Contributor

As a Remote Household Task Video Contributor, you will play a crucial role in advancing activity recognition technology by collecting synchronized IMU and video data through smartphones. This position is ideal for detail-oriented individuals who are passionate about robotics and committed to delivering consistent, high-quality output. You will contribute to the development of next-generation machine learning models while working remotely from designated U.S. states.

• 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.

• 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.
• Experience with mobile devices and a high level of digital literacy.
• Physical capability to perform repetitive movement tasks safely and accurately.
• Access to a compatible smartphone for high-fidelity sensor and video data collection.
• Eligibility to work in designated U.S. states.

• 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.

This is a contract position with a requirement to submit a minimum of 10 hours of video per week. Compensation is output-based, with experts paid $0.21 per minute of approved video that meets project specifications. Videos must be at least 2 minutes in length.

Compensation is $13 per hour.

Applicants must be based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, or Wisconsin.