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Remote Human Performance Exercise Science Jobs in Mead, CO

VDURA

Systems Engineer, Platform

Niwot, CO · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ...

VDURA

Systems Engineer, Platform

Longmont, CO · On-site +1

VDURA is redefining high-performance data infrastructure for AI, HPC, and data-intensive workloads ... Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ...

City of Brighton

SCADA OT Administrator

Brighton, CO · Remote

$88K - $121K/yr

... human relations skills. Support predictable system changes without disrupting water treatment ... Troubleshoot SCADA and OT communication issues involving PLCs, remote I/O, instrumentation networks ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

... performance. Required Qualifications * Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related ...

Maxar

Senior Software Engineer

Westminster, CO · On-site +1

$123K - $163K/yr

In this role, you will work closely with software engineers, data scientists, analysts, and ... Must be willing to work in a remote setting or nearby Vantor facility and comfortable communicating ...

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All JobsHuman Performance Exercise Science JobsRemote Human Performance Exercise Science JobsRemote Human Performance Exercise Science Jobs in Mead, CO

Remote Human Performance Exercise Science information

See Mead, CO salary details

$36.8K

$77.3K

$126.9K

How much do remote human performance exercise science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote human performance exercise science in Mead, CO is $77,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $94,000.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Mead, CO are hiring for Remote Human Performance Exercise Science jobs?

Cities near Mead, CO with the most Remote Human Performance Exercise Science job openings:

Remote Human Performance Exercise Science jobs near you
Infographic showing various Remote Human Performance Exercise Science job openings in Mead, CO as of August 2026, with employment types broken down into 4% Internship, 65% Full Time, 22% Part Time, 4% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,298 per year, or $37.2 per hour.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Thornton, CO • Remote

$80 - $160/hr

Part-time

Posted 19 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply