Job Summary:

Join our customer's team as a Data-Video Generalist and make a direct impact on the future of activity recognition and robotics. In this expert-level, remote role, you will contribute vital synchronized motion and video data, helping to advance cutting-edge machine learning models for next-generation technologies.

Key Responsibilities:

1. Capture precise motion data using your smartphone’s IMU sensors during specified physical activities.
2. Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data.
3. Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards.
4. Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project’s duration.
5. Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices.
6. Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations.
7. Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding.

Required Skills and Qualifications:

1. Meticulous attention to detail and a proven record of following standardized protocols.
2. Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment.
3. Exceptional written and verbal communication skills essential for documentation and remote collaboration.
4. Advanced tech-savviness and experience with mobile devices for sensor and video data capture.
5. Physical ability to engage in repetitive movement tasks safely and effectively.
6. Access to a compatible smartphone capable of high-fidelity data collection.
7. Eligibility to work in designated U.S. states is required.

Preferred Qualifications:

1. Background in robotics, kinesiology, sensor-based data collection, or related technical disciplines.
2. Experience with human motion analysis, activity segmentation, or machine learning dataset labeling.
3. Familiarity with structuring large-scale datasets for AI and robotics applications.

Compensation is output-based; experts are paid per minute of submitted video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Videos must be at least 2 minutes in length. Experts must submit a minimum of 10 hours of video per week.