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Remote Human Performance Exercise Science Jobs in Oklahoma

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

This role combines traditional data science (forecasting, LTV modeling, experimentation validation ... Marketing performance and demand planning * Partner with Finance and Leadership on budgeting and ...

Abbott

Field Service Engineer II- Tulsa, OK

Tulsa, OK · Remote

We'realways looking towards the future,anticipatingchanges in medical science and technology. Our ... This is a field-based, remote role that covers the Tulsa, OK territory. As a Field Service Engineer ...

Abbott

Field Service Engineer II- Tulsa, OK

Tulsa, OK · Remote

We'realways looking towards the future,anticipatingchanges in medical science and technology. Our ... This is a field-based, remote role that covers the Tulsa, OK territory. As a Field Service Engineer ...

Bowhead

BeyondTrust Administrator

Oklahoma City, OK · Remote

... Remote Access, and Password Safe solutions for our USAF customer. Beyond Trust is part of our ... You will need to monitor performance of the solution, identify potential issues and risks, as well ...

Manulife

Senior Underwriting Consultant

Kansas, OK · Remote

$78K - $92K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Strong knowledge of medical science, technology and terminology and their impact on morbidity. When ...

Toptal

... remote workforce. We take the best elements of virtual teams and combine them with a support ... You must be able to analyze performance data, communicate clearly, and move quickly. The ideal ...

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Remote Human Performance Exercise Science information

What is a remote human performance exercise science professional?

A Remote Human Performance Exercise Science professional is someone who applies principles of exercise science to optimize clients’ physical performance, health, and recovery, all while working remotely. They may design and monitor fitness programs, conduct virtual assessments, and provide coaching or guidance through digital platforms. These professionals work with athletes, employees, or general populations to improve strength, endurance, flexibility, and overall well-being. Remote roles leverage technology for communication, data tracking, and program modification, making high-quality support accessible from anywhere.

What is the difference between Remote Human Performance Exercise Science vs Remote Sports Performance Coach?

AspectRemote Human Performance Exercise ScienceRemote Sports Performance Coach
CredentialsCertifications like NSCA-CSCS, NASM-CES, or ACSM certificationsSimilar certifications, often with additional coaching-specific credentials
Work EnvironmentResearch settings, clinical environments, or remote consultingRemote coaching, athlete training programs, and performance optimization
Industry UsageHealthcare, rehabilitation, research, and performance labsSports teams, individual athletes, fitness centers
Search & ComparisonOften compared for roles involving exercise science and performance optimizationMore focused on coaching athletes remotely

Remote Human Performance Exercise Science and Remote Sports Performance Coach roles share many certifications and work environments, but the former leans more toward research and clinical applications, while the latter emphasizes coaching athletes remotely for performance enhancement.

What jobs can I get with a remote human performance exercise science degree?

A degree in remote human performance exercise science can qualify you for roles such as exercise physiologist, fitness trainer, strength and conditioning coach, or wellness coach. These positions often involve developing training programs, assessing physical performance, and providing health guidance, sometimes requiring certifications like ACSM or NSCA. Many of these jobs can be performed remotely or in fitness facilities, with a focus on health promotion and physical optimization.

What are some common challenges faced by professionals in remote human performance exercise science roles?

Professionals in remote human performance exercise science often face challenges related to client engagement and effective communication. Without in-person supervision, it can be difficult to monitor clients' exercise form and adherence to prescribed programs. Building strong relationships and maintaining motivation remotely requires creative use of technology, regular check-ins, and clear instructional materials. Additionally, collaborating with interdisciplinary teams—such as nutritionists or physical therapists—may require proactive communication to ensure coordinated care despite working from different locations.

What are the key skills and qualifications needed to thrive as a remote human performance exercise science professional?

To thrive as a Remote Human Performance Exercise Science professional, you need a strong background in exercise physiology, biomechanics, and program development, typically supported by a relevant bachelor's or master's degree and certifications like ACSM or NSCA. Familiarity with remote coaching platforms, fitness tracking software, and virtual assessment tools is essential. Excellent communication, motivational skills, and adaptability are crucial for engaging and supporting clients online. These skills ensure effective program delivery, client adherence, and optimal performance outcomes in a remote setting.
What are popular job titles related to Remote Human Performance Exercise Science jobs in Oklahoma? For Remote Human Performance Exercise Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Human Performance Exercise Science jobs in Oklahoma look for? The top searched job categories for Remote Human Performance Exercise Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Human Performance Exercise Science jobs? Cities in Oklahoma with the most Remote Human Performance Exercise Science job openings:
Remote Human Performance Exercise Science jobs near you

Research Intern on Generative and Protective AI for Content Creation

Sony

Broken Arrow, OK • On-site, Remote

$50/hr

Full-time

Posted 7 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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