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Mocap Jobs (NOW HIRING)

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... mocap, teleoperation) into robust reference trajectories for reinforcement learning. Qualifications : Required : • Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX ...

Prisms VR

3D Artist (Remote)

San Francisco, CA · Remote

$110K - $140K/yr

Retargeting character animation using mocap data; * Scene Layout and Lighting in Unity; * Creating Particle Effects; * Asset optimization for Mobile Standalone VR; * Creating 3D explainer animations ...

Voxelmaps

Lead Robotics Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Required : • Hands-on robotics experiment design & protocol authorship • Capture architecture: egocentric, exocentric, mocap, UMI-style • Python -- strong, production-quality scripting • ROS ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

... mocap, teleoperation) into robust reference trajectories for reinforcement learning. Qualifications : Required : • Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX ...

Foundation Robotics

Head of Comms

San Francisco, CA · On-site

Balance content virality with the deeper technical narrative (VLA, navigation, mocap, MkII) * Able to refine narrative aimed at the SF technical crowd, investors, and talent while also branching out ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Responsibilities : • Design, build, and maintain end-to-end motion data pipelines, integrating diverse sources such as motion capture (mocap), teleoperation, and synthetic generation using ...

Apptronik

Software Engineer - Human Motion Data

Austin, TX · On-site

$113K - $136K/yr

Responsibilities : • Design, build, and maintain end-to-end motion data pipelines, integrating diverse sources such as motion capture (mocap), teleoperation, and synthetic generation using ...

Apptronik

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Develop and refine motion retargeting pipelines to translate human demonstration data (mocap, teleoperation) into robust reference trajectories for reinforcement learning. SKILLS AND REQUIREMENTS

Voxelmaps

Lead Robotics Data Engineer

El Paso, TX · On-site

$110K - $130K/yr

Capture architecture: egocentric, exocentric, mocap, UMI-style * Python -- strong, production-quality scripting * ROS / ROS2 -- practical experience * Dataset standards: metadata schemas, versioning ...

Chapman University

Virtual Production Specialist

Orange, CA · On-site

$31.73 - $38.46/hr

Experience with Virtual Production and related workflows, including image capture, camera tracking, MoCap, VCam, Scanning and Simulcam technologies, volumetric capture, interactive lighting, and in ...

Voxelmaps

Lead Robotics Data Engineer

El Paso, TX · On-site

$110K - $130K/yr

Capture architecture: egocentric, exocentric, mocap, UMI-style * Python - strong, production-quality scripting * ROS / ROS2 - practical experience * Dataset standards: metadata schemas, versioning, Q ...

Cloud Chamber

Senior Gameplay Animator

Novato, CA · On-site

$124K - $142K/yr

Create gameplay, AI, and scripted animation that matches the visual style of the game, using both keyframe and augmented mocap techniques. * Work closely with programmers and designers to support a ...

Voxelmaps

Lead Robotics Data Engineer

Austin, TX · On-site

$110K - $130K/yr

Capture architecture: egocentric, exocentric, mocap, UMI-style * Python - strong, production-quality scripting * ROS / ROS2 - practical experience * Dataset standards: metadata schemas, versioning, Q ...

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Mocap information

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How much do mocap jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for mocap in the United States is $39.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.16 and $48.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Motion Capture (Mocap) Technician, and why are they important?

To thrive as a Motion Capture (Mocap) Technician, you need a solid understanding of animation principles, digital content creation, and typically a degree in animation, computer graphics, or a related field. Familiarity with mocap hardware, software like Vicon or MotionBuilder, and video editing tools is essential. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for collaborating with actors and production teams. These competencies ensure high-quality data capture, efficient workflows, and seamless integration of mocap assets into animation projects.

What is the difference between Mocap vs Motion Capture Technician?

AspectMocapMotion Capture Technician
CredentialsTypically requires a background in animation, computer science, or related fields; certifications in motion capture technology are commonRequires similar technical skills, often with certifications in motion capture systems and equipment handling
Work EnvironmentWorks in studios or on location with motion capture suits and equipmentOperates and maintains motion capture systems, troubleshooting hardware and software issues
Industry UsageUsed in film, video games, and VR for capturing movement dataSupports the setup, calibration, and operation of motion capture systems in production environments

The main difference is that Mocap refers broadly to the process of capturing movement data, often performed by specialists or artists, while a Motion Capture Technician focuses specifically on operating and maintaining the equipment involved in the process. Both roles require technical knowledge and work in similar environments, but the technician role emphasizes system management and troubleshooting.

What jobs pay 700 a day?

In motion capture (mocap) roles, high-paying jobs can reach around $700 per day for experienced professionals working on major projects, such as feature films, AAA video games, or virtual production. These positions often require specialized skills in performance capture, familiarity with mocap equipment, and a strong portfolio, with pay varying based on experience, project scope, and industry demand.

What are mocap jobs?

Mocap jobs refer to positions involved with motion capture technology, which is used to record and translate the movement of people or objects to digital models. These roles can include motion capture actors, technicians, animators, and data processors. Mocap professionals work in industries like video games, film, animation, and virtual reality to create realistic character movements and performances. Their work is essential for bringing digital characters to life with natural and believable motion.

How do you get into mocap acting?

To become a mocap actor, it is important to have acting experience, physical fitness, and familiarity with motion capture technology. Developing skills in movement, body awareness, and sometimes performing in motion capture suits or environments can improve chances of entering the field. Building a demo reel and networking with industry professionals can also help secure opportunities.

How much do mocap people make?

Motion capture (mocap) performers typically earn between $20 and $50 per hour, depending on experience, project scope, and union status. Salaries can range from around $40,000 to over $100,000 annually for full-time roles, especially with specialized skills and certifications in the field.

How to get a career in motion capture?

To pursue a career in motion capture, develop skills in 3D animation, programming, or related fields, and gain experience with mocap equipment and software such as Vicon or OptiTrack. Building a portfolio and networking within the industry can also improve job prospects, often requiring a background in animation, computer science, or visual effects. Certifications or training in motion capture technology can further enhance employability.

What are some common challenges faced by motion capture (Mocap) professionals during a production, and how can they be addressed?

Motion capture professionals often encounter challenges such as managing technical glitches with equipment, ensuring accurate marker placement on actors, and adapting to last-minute changes in choreography or direction. Working closely with animators, directors, and technical staff is crucial to quickly troubleshoot issues and maintain smooth workflows. Clear communication and a strong understanding of both the creative and technical aspects of mocap help professionals anticipate problems and implement effective solutions, ensuring high-quality data capture throughout the project.
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Mocap jobs near you
Senior Reinforcement Learning Engineer

Senior Reinforcement Learning Engineer

Apptronik

Austin, TX • On-site

$103K - $142K/yr

Full-time

Posted 14 days ago

Job description

Job Summary:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Reinforcement Learning Engineer will leverage their expertise in reinforcement learning to solve locomotion and manipulation challenges, mentor junior engineers, and implement advanced learning algorithms for the company's humanoid robots.
Responsibilities:
• Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware.
• Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning policies on the robot.
• Optimize and scale the RL training pipeline for faster iteration, contributing to core infrastructure for high-throughput simulation and distributed training.
• Mentor junior engineers by providing technical guidance, conducting insightful code reviews, and sharing best practices in reinforcement learning and software development.
• Collaborate closely with the robotics and hardware teams to diagnose system-level issues and co-develop solutions that enable more complex learned behaviors.
• Analyze and present hardware results to guide future technical directions and demonstrate progress on key company objectives.
• Develop and refine motion retargeting pipelines to translate human demonstration data (mocap, teleoperation) into robust reference trajectories for reinforcement learning.
Qualifications:
Required:
• Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym)
• Mastery of Python for rapid prototyping and training, alongside strong proficiency in C++ for developing performant, deployable code.
• Experience building or utilizing large-scale, distributed training pipelines and a strong intuition for their optimization.
• A strong theoretical understanding of modern reinforcement learning, including deep expertise in areas like imitation learning, model-based RL, and sim-to-real transfer techniques.
• A strong intuition for robot dynamics and controls theory, with the ability to apply these principles to guide and constrain learning-based approaches.
• A results-oriented mindset with a passion for seeing complex algorithms work on real-world hardware.
• A PhD or MS in Computer Science, Robotics, or a related field, with 2+ years industry experience strongly preferred.
• A proven track record of successfully deploying learning-based policies on physical robotic systems, especially legged robots or manipulators.
• Demonstrated experience mentoring or providing technical guidance to other engineers in a team environment.
• A strong publication record in relevant conferences or journals (e.g., CoRL, RSS, ICRA) is a significant plus.
Company:
Apptronik is a robotics company that designs and builds humanoid robots for various real-world applications. Founded in 2016, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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