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Remote Energy Jobs in Utah (NOW HIRING)

micro1 AI

Physics Modeling Expert - Remote

Provo, UT · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

NRG Energy

Engineering Manager

Lehi, UT · On-site +1

... remote or hybrid teams * Foster industry best practices and technology decision making from the ... NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and ...

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How much do remote energy jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote energy in Utah is $52,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $51,900.00 per year, depending on experience, location, and employer.

What is a Remote Energy?

A Remote Energy job involves working in the energy sector while operating remotely, often in roles such as renewable energy consulting, energy analysis, or project management. These positions may focus on optimizing energy efficiency, developing sustainable energy solutions, or supporting clean energy initiatives from a remote location. Common industries include solar, wind, and energy policy, with professionals using digital tools to collaborate with teams and clients.

What does a Remote Energy do?

In a Remote Energy role, your daily tasks often involve monitoring real-time data from energy systems, analyzing performance trends, and responding to alerts or anomalies to optimize efficiency. You may collaborate virtually with on-site personnel, engineering teams, and clients to implement or troubleshoot solutions. Regular responsibilities can also include preparing energy reports, recommending improvements, and staying up to date with industry regulations and advancements. The position provides a dynamic mix of independent work and teamwork, using technology to manage energy operations across multiple locations.

What are the key skills and qualifications needed to thrive in a Remote Energy position?

To thrive in a Remote Energy role, you typically need a background in energy management, environmental sciences, or engineering, along with experience in remote monitoring or distributed energy systems. Familiarity with energy management software, SCADA systems, and data analytics tools is often required, as well as relevant certifications such as CEM (Certified Energy Manager). Strong communication, problem-solving, and self-motivation are crucial soft skills for remote collaboration and independent troubleshooting. These capabilities are essential for optimizing energy use, supporting sustainability goals, and ensuring reliable operations across geographically dispersed sites.

What are the most commonly searched types of Energy jobs in Utah?

The most popular types of Energy jobs in Utah are:

What are popular job titles related to Remote Energy jobs in Utah?

For Remote Energy jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Energy jobs in Utah look for?

The top searched job categories for Remote Energy jobs in Utah are:

What cities in Utah are hiring for Remote Energy jobs?

Cities in Utah with the most Remote Energy job openings:

Remote Energy jobs near you
Infographic showing various Remote Energy job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $52,884 per year, or $25.4 per hour.

Physics Modeling Expert - Remote

micro1 AI

West Jordan, UT • Remote

$80 - $140/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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