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Motion Capture Tech Jobs (NOW HIRING)

Human Archive

Research Engineer

San Francisco, CA · On-site

$100K - $200K/yr

You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning ...

Tesla

Data Collection Operator, Optimus

Orlando, FL · On-site

Wear motion capture equipment while performing designated movements and actions based on project ... Ability to perform technical troubleshooting on equipment and willingness to learn new technologies ...

Apex Systems

Animate using both hand-key techniques and motion capture data. * Collaborate with Tech Art, Character, and Creature teams to test rigs. * Set up and implement animation files using Unreal, Unreal ...

Apex Systems

CINEMATICS CUTSCENE ANIMATOR

Bellevue, WA · On-site

Animate using both hand-key techniques and motion capture data. * Collaborate with Tech Art, Character, and Creature teams to test rigs. * Set up and implement animation files using Unreal, Unreal ...

AEG

Biomechanics Lab Associate

Tampa, FL · On-site

Oversee timely and rigorous processing of motion capture data Laboratory Maintenance * Ensure that ... technologies Qualifications and Experience: * This individual must possess a Bachelor's degree ...

Golftec

$65K - $75K/yr

GOLFTEC, the world leader in golf instruction, leverages proprietary swing motion capture technology, OptiMotion, to deliver data-driven coaching and measurable improvement. By providing instant ...

NetEase Games

Character Performance Animator

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999 ... Leverage experience from the film and game industries to optimize motion capture and keyframe ...

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How much do motion capture tech jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for motion capture tech in the United States is $51.62, according to ZipRecruiter salary data. Most workers in this role earn between $32.21 and $49.04 per hour, depending on experience, location, and employer.

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Infographic showing various Motion Capture Tech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 13% Part Time, 13% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,371 per year, or $51.6 per hour.

Research Engineer

San Francisco, CA • On-site

Human Archive
See more jobs at Human Archiveexternal

$100K - $200K/yr

Full-time

Re-posted 21 days ago

Job description

About Human Archive
Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
The Opportunity
As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training.
You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You'll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets.
Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence.
What You'll Do
  • Evaluate how different sensor modalities impact VLA training and downstream robotics performance
  • Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data
  • Design experiments around synchronization, calibration, fusion, and multimodal alignment
  • Prototype quickly and iterate from real-world robotics deployments and research feedback
  • Collaborate closely with hardware, ML, and research teams on next-generation sensing systems
What We're Looking For
  • Master's or PhD in robotics, computer vision, sensing systems, or related fields
  • Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI
  • Strong technical intuition around hardware systems and robot learning
  • Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems
  • Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance
  • Highly curious, execution-oriented, and comfortable operating from first principles

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