Remote Household Task Video Contributor

Job Title: Remote Household Task Video Contributor

Job Type: Contractor

Location: Remote - experts 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.

Job Summary:

Join our customers' team as a Robotics Generalist - Motion Data Contributor and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you.

Compensation is output-based; experts are paid $0.21 per minute of approved 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.

Key Responsibilities:

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

Required Skills and Qualifications:

1. Demonstrated adherence to standardized protocols and rigorous technical instructions.
2. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
3. Strong written and verbal communication skills; ability to document work and collaborate remotely.
4. Experience with mobile devices and a high level of digital literacy.
5. Physical capability to perform repetitive movement tasks safely and accurately.
6. Access to a compatible smartphone for high-fidelity sensor and video data collection.
7. Eligibility to work in designated U.S. states.

Preferred Qualifications:

1. Background in robotics, kinesiology, sensor-based data collection, or related technical fields.
2. Prior experience with activity segmentation or human motion analysis projects.
3. Familiarity with labeling and structuring large datasets for machine learning.

Additional Information:

Applications close April 16, EOD. Shortlisted candidates will complete a custom AI interview, including a mobile device compatibility check. Expect a rapid 48-hour turnaround from interview to onboarding, with the project starting April 17.

This project is active for experts 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.