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Remote Energy Modeling Jobs in Colorado (NOW HIRING)

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Remote Energy Modeling information

What is remote energy modeling?

Remote energy modeling is the process of analyzing and predicting a building's or system's energy use using digital tools, without needing to visit the site in person. Professionals use specialized software to create virtual models based on provided data such as architectural plans, utility bills, and climate information. This approach allows for energy efficiency assessments, code compliance checks, and sustainability planning from anywhere, making it efficient and cost-effective. Remote energy modeling is increasingly popular in the design and retrofitting of buildings to optimize energy consumption and reduce environmental impact.

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

To thrive as a Remote Energy Modeler, you need a solid background in engineering, energy systems, and building science, often supported by a degree in a related field and experience with energy modeling projects. Proficiency with software tools such as EnergyPlus, eQUEST, or IES VE, and relevant certifications like LEED AP or BEMP are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with project teams remotely. These competencies ensure accurate energy analyses, compliance with sustainability standards, and successful delivery of projects in a distributed work environment.

What are some common challenges faced by professionals in remote energy modeling roles, and how can they be addressed?

Remote energy modeling professionals often encounter challenges related to data availability and quality, effective collaboration with on-site teams, and managing complex simulation software remotely. To address these, it's important to establish clear communication channels with clients and colleagues, utilize cloud-based modeling platforms for ease of access, and regularly verify data sources for accuracy. Building strong organizational skills and staying updated on industry best practices also helps ensure models are reliable and projects run smoothly.

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

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

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

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

What cities in Colorado are hiring for Remote Energy Modeling jobs?

Cities in Colorado with the most Remote Energy Modeling job openings:

Remote Energy Modeling jobs near you
Infographic showing various Remote Energy Modeling job openings in Colorado as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Computational Physics Specialist - Remote

micro1 AI

Lakewood, CO • Remote

$80 - $140/hr

Part-time

Posted 15 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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