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Remote Energy Modeling Jobs in Nevada (NOW HIRING)

micro1 AI

Research Consultant - Physics AI

Sparks, NV · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

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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 Nevada?

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

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

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

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

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

Remote Energy Modeling jobs near you
Infographic showing various Remote Energy Modeling job openings in Nevada as of August 2026, with employment types broken down into 3% Internship, 72% Full Time, 9% Part Time, 3% Temporary, and 13% Contract. Highlights an 100% Remote job distribution.

Principal Physics Consultant - AI Training

micro1 AI

Henderson, NV • Remote

$80 - $160/hr

Part-time

Posted 17 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.

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