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Remote Intern Exercise Science Jobs in Springfield, MO

All JobsIntern Exercise Science JobsRemote Intern Exercise Science JobsRemote Intern Exercise Science Jobs in Springfield, MO

Remote Intern Exercise Science information

See Springfield, MO salary details

$8

$15

$22

How much do remote intern exercise science jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote intern exercise science in Springfield, MO is $15.50, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $17.50 per hour, depending on experience, location, and employer.

What does a remote intern in exercise science do?

As a Remote Intern in Exercise Science, you can expect to assist with data collection and analysis for ongoing research studies, help design virtual fitness or wellness programs, and contribute to the creation of educational content for clients or the public. You may also have opportunities to shadow virtual client consultations, support administrative tasks related to program management, and collaborate with exercise professionals through online meetings. This hands-on experience will help you develop practical skills while working in a supportive, remote team environment.

What are the key skills and qualifications needed to thrive as a remote intern in exercise science?

To thrive as a Remote Intern in Exercise Science, you need a foundational understanding of exercise physiology, kinesiology, and general knowledge gained through coursework in an exercise science or related program. Familiarity with virtual collaboration tools, fitness assessment software, and data tracking platforms is often required. Strong communication, self-motivation, and organizational skills help you stand out by ensuring effective remote teamwork and time management. These competencies are crucial for supporting research, client engagement, and project completion in a remote, dynamic environment.

What is the difference between Remote Intern Exercise Science vs Remote Intern Sports Science?

AspectRemote Intern Exercise ScienceRemote Intern Sports Science
Required CredentialsBasic knowledge of exercise physiology, certifications like CPR, first aid (preferred)Similar credentials, often with additional sports-specific certifications
Work EnvironmentRemote, research, or clinical settingsRemote, sports teams, or athletic organizations
Industry UsageHealth, fitness, rehabilitationSports teams, athletic training, performance centers
Search & Comparison IntentUnderstanding internship roles in exercise scienceFocusing on sports-specific internship opportunities

Remote Intern Exercise Science and Remote Intern Sports Science share similar foundational knowledge and remote work environments. However, sports science internships often emphasize sports-specific certifications and work with athletic teams, while exercise science internships focus more broadly on health and rehabilitation. Both roles are ideal for students or early-career professionals seeking remote opportunities in related fields.

What is a remote intern exercise science?

Remote intern exercise science positions are internships in the field of exercise science that can be completed online or from a remote location, rather than in a traditional, in-person setting. These roles typically involve assisting with research, data analysis, virtual coaching, program development, or educational outreach under the supervision of qualified professionals. Remote exercise science interns gain valuable experience by working with exercise specialists, fitness trainers, or researchers via online collaboration tools. This type of internship is ideal for students or recent graduates seeking practical experience while maintaining flexibility in their location.
What are popular job titles related to Remote Intern Exercise Science jobs in Springfield, MO? For Remote Intern Exercise Science jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Remote Intern Exercise Science jobs in Springfield, MO look for? The top searched job categories for Remote Intern Exercise Science jobs in Springfield, MO are:
Remote Intern Exercise Science jobs near you
Infographic showing various Remote Intern Exercise Science job openings in Springfield, MO as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% Remote job distribution, with an average salary of $32,233 per year, or $15.5 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sony

Springfield, MO • On-site, Remote

$50/hr

Full-time

Posted 4 days ago

Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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