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Motion Analysis Internship Jobs (NOW HIRING)

Transdev

Test Engineer [Internship]

Atwater, CA · On-site

$26/hr

Analyze and interpret results * Communicate results and test status. Use dashboards and other ... Frequently required to use repetitive hand motion, hands to finger, handle or feel, and to sit ...

Transdev

Test Engineer [Internship]

Atwater, CA

$26/hr

Analyze and interpret results * Communicate results and test status. Use dashboards and other ... Frequently required to use repetitive hand motion, hands to finger, handle or feel, and to sit ...

Ducommun

Supply Chain Intern

Carson, CA · On-site

$21 - $22/hr

Supply Chain Intern Ducommun is seeking summer interns to join our team for a 10-week internship ... Strong analytical, and critical thinking skills. * Ability to work with cross-functional teams and ...

NOV, Inc.

Automation & Controls Engineer II

San Antonio, TX · On-site

$72.30K - $95.70K/yr

... analysis and resolution of automation or motion control issues. • Ensure designs comply with ... control systems (internships or co-op experience may be considered). JOB REQUIREMENTS EIT not ...

NOV, Inc.

Automation & Controls Engineer II

San Antonio, TX

$72.30K - $95.70K/yr

Support root cause analysis and resolution of automation or motion control issues. Ensure designs ... control systems (internships or co-op experience may be considered). JOB REQUIREMENTS EIT not ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site

$45 - $60/hr

This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Kelly

Business Financial Analyst

Torrance, CA · On-site

$27.50/hr

... Internships don't qualify as experience Why you should apply to be Business Finance Analyst ... Business financial acumen with the ability to provide valuable ad-hoc data analysis to leadership ...

Premier Staffing Solution

Controls Engineer 3

Buffalo, NY

$80.90K - $104.60K/yr

... and analytical skills in a high-volume manufacturing environment 6.) Strong Comprehension of ... motion control, and VFDs is preferred 9.) Strong communication and interpersonal skills; able to ...

Premier Staffing Solution

Controls Engineer 3

Buffalo, NY

$80.90K - $104.60K/yr

... and analytical skills in a high-volume manufacturing environment 6.) Strong Comprehension of ... motion control, and VFDs is preferred 9.) Strong communication and interpersonal skills; able to ...

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Motion Analysis Internship information

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How much do motion analysis internship jobs pay per hour?

As of May 30, 2026, the average hourly pay for motion analysis internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Motion Analysis Intern, and why are they important?

To thrive as a Motion Analysis Intern, you typically need a background in biomechanics, kinesiology, or a related field, with strong analytical and observational skills. Familiarity with motion capture systems, data analysis software (such as MATLAB or Visual3D), and potentially programming languages like Python is often required. Attention to detail, effective communication, and a collaborative mindset are critical soft skills in this role. These abilities are crucial for accurately collecting, interpreting, and presenting movement data to support research or clinical decision-making.

What types of projects and responsibilities can I expect during a Motion Analysis Internship?

As a Motion Analysis Intern, you can expect to work on projects involving the collection, processing, and interpretation of movement data, often using motion capture systems and analytical software. Typical responsibilities include assisting with experimental setups, calibrating equipment, annotating datasets, and supporting data analysis for biomechanics or animation studies. You'll frequently collaborate with researchers, engineers, or animators, gaining hands-on experience in both technical and research-based tasks. This role provides a strong foundation for careers in biomechanics, sports science, animation, or robotics, and often includes opportunities to contribute to published research or real-world applications.

What is a Motion Analysis Internship?

A Motion Analysis Internship is a temporary, hands-on training position for students or recent graduates interested in studying and interpreting human or object motion. Interns typically work in fields like sports science, biomechanics, animation, or film production, using motion capture technology and software to analyze movement patterns. The role involves assisting with data collection, processing, and analysis, and may also include report writing or supporting research projects. This internship provides practical experience and helps build skills relevant to careers in motion analysis, kinesiology, or digital media.

What is the difference between Motion Analysis Internship vs Motion Capture Technician?

AspectMotion Analysis InternshipMotion Capture Technician
Required CredentialsTypically pursuing or recent graduate in biomechanics, kinesiology, or related fieldsTechnical training or certification in motion capture systems often preferred
Work EnvironmentResearch labs, sports facilities, or academic settingsFilm, gaming, or sports production studios
Employer & Industry UsageUniversities, research institutions, sports teamsEntertainment, film, video game development
Common Search & ComparisonYesYes

The Motion Analysis Internship generally focuses on research and data collection in academic or sports settings, often involving biomechanics analysis. In contrast, a Motion Capture Technician works primarily in entertainment or media industries, operating motion capture systems for film or game production. Both roles require technical skills, but their environments and applications differ significantly.

More about Motion Analysis Internship jobs
What cities are hiring for Motion Analysis Internship jobs? Cities with the most Motion Analysis Internship job openings:
What are the most commonly searched types of Motion Analysis jobs? The most popular types of Motion Analysis jobs are:
What states have the most Motion Analysis Internship jobs? States with the most job openings for Motion Analysis Internship jobs include:
What job categories do people searching Motion Analysis Internship jobs look for? The top searched job categories for Motion Analysis Internship jobs are:
Motion Analysis Internship jobs near you
Infographic showing various Motion Analysis Internship job openings in the United States as of May 2026, with employment types broken down into 12% Internship, 2% As Needed, 55% Full Time, 29% Part Time, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Robotics Research Internship-Locomotion & Planning (Summer 2026)

FieldAI

Irvine, CA

$45 - $60/hr

Other

Posted 13 days ago

Job description

About the Internship
 
Field AI is building the future of autonomy-from rugged terrain to real-world deployment. We're on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. 
 
We are offering a Summer 2026 internship focused on learning-based locomotion and planning for PhD students interested in advancing autonomous legged robot capabilities. As a research intern, you will work at the intersection of reinforcement learning, locomotion control, and learned planning, developing integrated systems that enable robots to move and navigate intelligently through complex, unstructured environments.
 
You will collaborate closely with Field AI research scientists and engineers to design experiments, develop locomotion and planning systems, and validate ideas in simulation and on real hardware. This internship emphasizes building tightly integrated learning-based systems that connect low-level locomotion with high-level planning, translating research into practical, deployable capabilities for real-world robotics.
What You'll Get To Do
  •  
Advance RL-Based Locomotion and Learned Planning Research
 
  • Design, implement, and evaluate reinforcement learning pipelines that tightly integrate locomotion control with learning-based planning.
  • Explore how learned planners can inform and adapt locomotion behaviors across varied terrain and dynamic conditions.
  • Contribute to research projects from early-stage ideas through simulation experiments and on-robot validation.
 
Bridge Locomotion and Planning Across the Sim-to-Real Gap
 
  • Develop and refine sim-to-real transfer strategies, including domain randomization, system identification, and adaptive methods, for integrated locomotion-planning systems.
  • Build and leverage GPU-accelerated simulation environments (Isaac Gym, Isaac Lab, MuJoCo) for scalable training and evaluation.
  • Test and iterate on policies using real legged robot platforms in unstructured environments.
 
Build Systems That Connect Research to Deployment
 
  • Translate research concepts into working robotic systems tested on real hardware.
  • Develop experimental setups and tooling to support data collection, evaluation, and reproducibility.
  • Help ensure locomotion and planning systems are robust, field-relevant, and ready for iterative improvement.
 
Collaborate Across the Full Robotics Stack
 
  • Work closely with systems engineers, perception experts, and embedded teams to close the loop between learning and execution.
  • Incorporate real-world telemetry and field data to refine models and improve generalization.
  • Engage with researchers and engineers across the team to align experiments with broader autonomy goals.
 
Rapidly Iterate and Learn
 
  • Prototype quickly, run experiments in simulation and on hardware, and analyze results rigorously.
  • Balance exploratory research with concrete deliverables over the course of the internship.
  • Debug system-level issues spanning simulation, software, hardware, and learning.
What You Have
  • Current PhD student in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a closely related field.
  • Research experience in reinforcement learning for continuous control, locomotion, or learning-based planning.
  • Strong foundation in contact dynamics, control theory, and kinematics.
  • Proficiency in Python and/or C++, with experience using robotics or ML tooling.
  • Familiarity with physics-based simulators such as Isaac Gym, Isaac Lab, MuJoCo, or PyBullet.
  • Experience designing experiments and evaluating results on robotic systems (simulation or hardware).
  • Curiosity, initiative, and a strong interest in building autonomous systems that operate in the real world.
The Extras That Set You Apart
  • Hands-on experience with legged robot platforms (quadrupeds, wheeled-quadrupeds, bipedal systems, or exoskeletons).
  • Experience with sim-to-real transfer for locomotion or planning policies.
  • Background in learning-based planning, motion planning, or terrain-adaptive control.
  • Familiarity with ROS or ROS2.
  • Publications, preprints, or open-source contributions in locomotion, RL, planning, or control.
  • Experience deploying neural network controllers on resource-constrained or real-time robotic platforms.
  • Interest in bridging cutting-edge research with practical, field-ready robotic systems.
$45 - $60 an hour
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 
 
Field AI Onsite Work Philosophy
 
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
 
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
 
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
 
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
 
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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