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Remote Physics Jobs (NOW HIRING)

Computational Physics AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project ...

The Department of Physics invites applications for Part-Time Instructors for Spring 2026 or Fall ... Required License or Certification Is this position eligible for a remote or hybrid work arrangement ...

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$39K

$46.9K

$52.5K

How much do remote physics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What is a remote physics job?

A Remote Physics job involves conducting physics-related work, such as research, data analysis, simulations, or teaching, from a remote location rather than an on-site lab or office. These roles can be found in academia, industry, software development, or education, and may involve theoretical modeling, computational physics, or online instruction. Remote physicists often use digital collaboration tools and specialized software to perform their tasks.

What are the key skills and qualifications needed to thrive in a remote physics position?

To thrive in a Remote Physics role, you need a solid background in physics or a related field, often supported by at least a bachelor's or master's degree, and strong analytical and mathematical skills. Experience with scientific software such as MATLAB, Python, or simulation tools, and familiarity with remote collaboration platforms are highly valuable. Excellent written communication, self-motivation, and time-management skills help professionals excel in a virtual work environment. These competencies are crucial for successfully conducting research, analyzing data, and collaborating effectively with distributed teams.

What are some common challenges faced in a remote physics position, and how do professionals overcome them?

A common challenge in remote physics positions is maintaining effective communication and collaboration with colleagues and supervisors who may be in different locations or time zones. Professionals often overcome this by leveraging project management tools, regular video meetings, and clear documentation practices to ensure everyone stays aligned. Additionally, managing complex projects independently requires strong organizational skills and discipline. Adapting to these remote workflows not only enhances productivity but also fosters a flexible, self-driven work environment that many find rewarding.

More about Remote Physics jobs

What cities are hiring for Remote Physics jobs?

Cities with the most Remote Physics job openings:

What are the most commonly searched types of Physics jobs?

The most popular types of Physics jobs are:

What states have the most Remote Physics jobs?

States with the most job openings for Remote Physics jobs include:

Infographic showing various Remote Physics job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 59% Full Time, 24% Part Time, 2% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.

Computational Physics Expert - Remote

YO AI Labs

New York, NY โ€ข Remote

Full-time

Posted 9 days ago


Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.