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Remote Motion Capture Jobs (NOW HIRING)

Edit Motion Capture data to blend detailed character movement/facial with keyframe skills. * Work ... Remote candidates may be considered; however, preference will be given to those who can work in Los ...

Lead Animator

Novato, CA · Remote

$123K - $182K/yr

Deliver exceptional hand-key animations and edit motion capture data for first-person and third ... for our players. #LI-Remote The pay range for this position in California at the start of ...

Relevant backgrounds may include character animation, facial animation, performance capture, motion ... Remote work with periodic in-person collaboration sessions. * Approximately one to two in-person ...

Senior DHS Capture Manager

Mclean, VA · On-site +1

$175K - $225K/yr

... remote environment using standard office equipment such as computers, phones, and video ... Repetitive Motion; Use Hands / Fingers to Handle or Feel; Climb (stairs, ladders) or Balance ...

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Remote Motion Capture information

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$30.5K

$91.5K

$175.5K

How much do remote motion capture jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote motion capture in the United States is $91,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $107,500.00 per year, depending on experience, location, and employer.
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Cities with the most Remote Motion Capture job openings:

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What states have the most Remote Motion Capture jobs?

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Infographic showing various Remote Motion Capture job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,454 per year, or $44 per hour.

Data Collection Specialist (Household Task Video Contributor)

Remote

Other

Posted 23 days ago


Job description

Data Collection Specialist

Careerflow.ai is hiring Data Collection Specialists to support robotics and embodied AI data collection projects. In this role, contributors will record first-person household task videos using an iPhone mounted on a head-worn capture device, helping generate high-quality real-world training data for robotics use cases.

This is a contract opportunity for reliable, detail-oriented contributors who can follow strict capture protocols, perform everyday household activities safely, and deliver consistent weekly output that meets project quality standards.

What You'll Do
  • Record first-person video of everyday household tasks using an iPhone/Android phone mounted on a head-mounted capture rig (which is easily available on Amazon/Walmart/etc.)
  • Perform structured activities such as cleaning, folding laundry, organizing items, food preparation, and similar home interactions relevant to robotics learning.
  • Follow detailed capture protocols for framing, motion quality, task execution, file naming, and submission requirements.
  • Review recordings for completeness and quality before upload, then transfer files to the designated storage platform on schedule.
  • Maintain consistent output each week and communicate promptly about blockers, device issues, or protocol questions.
Required Equipment
  • Access to an iPhone/Android phone capable of recording clear video in at least 1080p.
  • Willingness to place the iPhone/Android phone on a head-mounted capture device for recording sessions.
  • Comfortable home environment where assigned household tasks can be performed safely and repeatedly.
Required Qualifications
  • Strong attention to detail and ability to follow SOPs and technical instructions precisely.
  • Comfort using mobile devices, apps, and upload tools for data collection workflows.
  • Reliable time management and dependable weekly output.
  • Ability to perform light to moderate physical household tasks safely, including standing, reaching, grasping, and repeated motion.
  • Clear written communication for reporting issues and confirming submission status.
Preferred Qualifications
  • Prior experience with video data collection, annotation, robotics, motion capture, or embodied AI projects.
  • Familiarity with structured datasets, quality control processes, or action labeling workflows.
  • Experience working in remote contractor environments with defined weekly production targets.

Strong contributors produce consistent, usable recordings that clearly capture hand-object interactions and household behaviors from a first-person perspective. This data helps train robotics systems to better perceive, understand, and act in real-world home environments