Video engineer • huntington beach ca
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The average salary range is between $ 45,000 and $ 127,125 year , with the average salary hovering around $ 72,800 year .
The average salary range is between $ 90,161 and $ 180,015 year , with the average salary hovering around $ 130,124 year .
Job Title: Data-Video Generalist
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.
Timeline: Applications close on May 15th at 5 pm PST
Job Summary:
Join our customers' team as a Data-Video Generalist 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.
Key Responsibilities:
Required Skills and Qualifications:
Compensation Structure
Compensation is output-based; experts are paid per recorded 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 a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week.
Start Timeline & Availability
We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.
Tasks for this project must be performed from a mobile device (smartphone or tablet). Experts will record their workflow directly from the mobile device while completing tasks.
Head Strap / Wearable:
Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.
