ZipRecruiter

Log In

2

Remote Exercise Research Jobs in Illinois (NOW HIRING)

Topel Forman

Tax Manager

Chicago, IL · On-site +1

$114K - $149K/yr

Research tax issues and legislation and exercise professional judgment with respect to issue ... To learn more about our firm and benefit offerings, please visit our careers page Remote Work ...

Topel Forman

Tax Manager

Chicago, IL · On-site +1

$114K - $149K/yr

Research tax issues and legislation and exercise professional judgment with respect to issue ... To learn more about our firm and benefit offerings, please visit our careers page Remote Work ...

Topel Forman

Tax Manager

Chicago, IL · On-site +1

$114K - $149K/yr

Research tax issues and legislation and exercise professional judgment with respect to issue ... To learn more about our firm and benefit offerings, please visit our careers page Remote Work ...

Dentons

Conflicts Analyst

Chicago, IL · Remote

$65K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position reports to the Lateral Conflicts Manager and is fully remote position ... Conducting research on business and corporate entities via online resources * Handling complexity ...

Inizio Evoke

Director, DevOps

Chicago, IL · Remote

$54.25 - $74.50/hr

  • Medical

  • Dental

  • Retirement

This is a fully remote opportunity. What You'll Do Operations & Reliability * Support, monitor, and ... Research and evaluate new solutions to cloud infrastructure challenges; bring recommendations, not ...

New

previous pagenext page

Showing results 21-40

All JobsExercise Research JobsRemote Exercise Research JobsRemote Exercise Research Jobs in Illinois

Remote Exercise Research information

What are the key skills and qualifications needed to thrive as a remote exercise researcher, and why are they important?

To thrive as a Remote Exercise Researcher, you need a solid background in exercise science, research methodology, and data analysis, often supported by an advanced degree in kinesiology, physiology, or a related field. Familiarity with statistical analysis software (such as SPSS or R), online survey tools, and literature databases is typically required. Strong written communication, self-motivation, and collaboration skills are crucial for remote coordination and effective reporting of findings. These skills are essential to ensure accurate, high-quality research outcomes and effective teamwork in a remote setting.

What is the difference between Remote Exercise Research vs Remote Fitness Coach?

AspectRemote Exercise ResearchRemote Fitness Coach
Required CredentialsOften requires degrees in exercise science, kinesiology, or related fields; certifications like ACSM or NSCA beneficialCertifications such as NASM, ACE, or ISSA typically required; degrees may be preferred but not always necessary
Work EnvironmentPrimarily research settings, data analysis, and virtual collaboration with research teamsClient-focused, providing personalized training plans via online platforms
Industry UsageUsed mainly in academic, healthcare, or sports science researchCommon in personal training, wellness programs, and online fitness platforms

Remote Exercise Research involves studying exercise methods, analyzing data, and contributing to scientific knowledge, often within academic or healthcare settings. In contrast, Remote Fitness Coaches focus on designing and delivering personalized fitness programs to clients remotely. While both roles require knowledge of exercise science, their work environments and objectives differ significantly.

How does collaboration typically work in a remote exercise research role?

In a remote exercise research role, collaboration is primarily conducted via digital platforms such as video conferencing, shared documents, and project management tools. Team members, including researchers, data analysts, and coordinators, frequently communicate to design studies, review data, and discuss findings. While most tasks are completed independently, regular virtual meetings ensure alignment and foster teamwork. Strong communication skills and self-motivation are essential to stay connected and productive in this distributed environment.

What is a remote exercise researcher?

A Remote Exercise Researcher is a professional who studies the effects, outcomes, and best practices of exercise and physical activity, but conducts their work primarily online or from a remote location. They may design and analyze virtual fitness studies, collect data via digital tools, and collaborate with other researchers, all without being physically present in a laboratory or office. This role often involves reviewing scientific literature, conducting surveys, and using technology to monitor participants' exercise routines and outcomes. Remote Exercise Researchers play a key role in advancing knowledge about exercise, particularly as telehealth and digital fitness solutions become more popular.

What are the most commonly searched types of Exercise Research jobs in Illinois?

The most popular types of Exercise Research jobs in Illinois are:

What are popular job titles related to Remote Exercise Research jobs in Illinois?

For Remote Exercise Research jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Exercise Research jobs in Illinois look for?

The top searched job categories for Remote Exercise Research jobs in Illinois are:

What cities in Illinois are hiring for Remote Exercise Research jobs?

Cities in Illinois with the most Remote Exercise Research job openings:

Remote Exercise Research jobs near you
Infographic showing various Remote Exercise Research job openings in Illinois as of June 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Principal Physics Consultant - AI Training

micro1 AI

Naperville, IL • Remote

$80 - $160/hr

Part-time

Posted 12 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