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Remote Accelerator Physics Jobs (NOW HIRING)

Turing

Remote Physics Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge ... Based in San Francisco, California, Turing is the world's leading research accelerator for frontier ...

New

TechSource

Project Controls

Los Alamos, NM · Remote

... accelerator physics, and systems engineering arenas with offices in Washington DC, SC, TX, TN, and ... Indicate a remote preference in your application. Primary Responsibilities: * Manage complex ...

TechSource

Project Controls

Los Alamos, NM · On-site +1

... accelerator physics, and systems engineering arenas with offices in Washington DC, SC, TX, TN, and ... Indicate a remote preference in your application. Primary Responsibilities: * Manage complex ...

Phizenix

Senior Software Infrastructure Engineer

Santa Clara, CA · Remote

$203.20K - $240.80K/yr

... ML accelerator systems across both hardware and software environments . In this role, you'll own ... Bachelor's degree in Computer Science, Engineering, Math, Physics , or a related field * 7+ years ...

University Hospitals

Certified Medical Dosimetrist

Avon, OH · Remote

$114.36K - $178.86K/yr

... Physics & Dosimetry, prior to transitioning to a fully remote model. Continued remote work is ... with linear accelerator platforms, including Varian and Elekta systems. (Required) and • ...

MatX

System Software Engineer

Mountain View, CA · On-site +1

$175K - $362.50K/yr

Influence the design of next generations of accelerators, and the host system software stack ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

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Remote Accelerator Physics information

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$39K

$46.9K

$52.5K

How much do remote accelerator physics jobs pay per year?

As of May 29, 2026, the average yearly pay for remote accelerator 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 are the key skills and qualifications needed to thrive as a Remote Accelerator Physicist, and why are they important?

To thrive as a Remote Accelerator Physicist, you need a strong background in physics or engineering, often with a Ph.D., and deep knowledge of accelerator theory and particle dynamics. Familiarity with simulation software (such as MAD-X or Elegant), control systems, and data analysis tools is typically required. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and effective troubleshooting. These competencies ensure you can design, operate, and optimize accelerator systems efficiently, even when working off-site.

How do remote accelerator physicists typically collaborate with on-site teams and manage access to experimental data?

Remote accelerator physicists frequently collaborate with on-site teams through regular video conferences, digital workspaces, and real-time data monitoring tools. They often rely on secure remote access to control systems and data repositories, allowing them to participate actively in experiments and analysis. Effective communication is essential, as remote physicists must coordinate closely with on-site staff to schedule experiments, troubleshoot issues, and interpret results. This collaborative structure enables remote team members to contribute meaningfully to research projects while maintaining flexibility.

What is a remote accelerator physicist?

A remote accelerator physicist is a scientist who studies and optimizes the behavior of particle accelerators while working from a location outside of the laboratory, often using remote access tools and simulations. These professionals analyze accelerator performance, develop new technologies, and collaborate with teams worldwide to improve research facilities. Their work is crucial for advancing experiments in physics, medicine, and industry, and remote arrangements allow for greater flexibility and international collaboration.

What is the difference between Remote Accelerator Physics vs Remote Particle Accelerator Technician?

AspectRemote Accelerator PhysicsRemote Particle Accelerator Technician
Required CredentialsAdvanced degrees in physics or related fields, specialized knowledge in accelerator scienceTechnical certifications, associate or bachelor’s in engineering or technical fields
Work EnvironmentResearch labs, universities, remote collaboration on complex projectsOperational sites, maintenance, troubleshooting, often on-site but sometimes remote support
Industry UsageResearch institutions, high-energy physics labs, academiaFacility operations, equipment maintenance, technical support roles

Remote Accelerator Physics involves advanced research and theoretical work in particle accelerators, often requiring higher education and specialized knowledge. In contrast, Remote Particle Accelerator Technicians focus on operational support, maintenance, and troubleshooting, typically with technical certifications. Both roles are essential in the accelerator industry but differ in credentials, responsibilities, and work environment.

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What job categories do people searching Remote Accelerator Physics jobs look for? The top searched job categories for Remote Accelerator Physics jobs are:
Remote Accelerator Physics jobs near you
Remote Physics Expert (PhD)

Remote Physics Expert (PhD)

Turing

San Francisco, CA • Remote

$100 - $200/hr

Contractor

Posted yesterday

Job description

Remote contract for PhDs in Physics, Applied Physics, or related fields. Work on cutting-edge projects with top AI labs while earning $100+/hour, fully remote, with flexible weekly hours. No AI experience required

Role Overview:
Help fine-tune large language models (like ChatGPT) using your physics skills. You’ll design problems, check how well AI solves them, and work with researchers to build better benchmarks.

Responsibilities:
  • Design advanced physics problems to test AI performance (e.g., mechanics, electromagnetism, thermodynamics).
  • Develop clear, step-by-step solutions with rigorous logic.
  • Evaluate AI outputs for accuracy and quality of reasoning.
  • Collaborate with researchers to refine benchmarks across undergraduate to PhD-level physics topics.

Requirements:
  • PhD (pursuing or completed) in Physics, Applied Physics, or a related field.
  • Strong physics reasoning and problem-solving skills across advanced domains.
  • Ability to communicate complex ideas clearly in writing and provide structured feedback.
  • No AI experience required

Perks:
  • Fully remote, flexible work.
  • Work on cutting-edge AI projects with leading LLM companies.

Offer Details:
  • Pay rate: $100+/hour (depends on role and candidate expertise)
  • Assessment: Shortlisted experts complete an evaluation before selection.
  • Assignments: Contract roles with defined start/end dates; up to 40 hrs/week.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.