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Remote Internship Physics Jobs in Washington, DC

Remote Internship Physics information

See Washington, DC salary details

$10

$19

$26

How much do remote internship physics jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote internship physics in Washington, DC is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What is a remote internship physics?

A Remote Internship in Physics is a virtual internship where students or recent graduates work on physics-related projects from a remote location. These internships often involve data analysis, simulations, research assistance, or coding tasks in fields like theoretical physics, astrophysics, or materials science. Interns typically communicate with mentors and teams via email, video calls, or collaboration platforms. This type of internship provides hands-on experience and enhances technical skills without requiring physical presence at a lab or office.

What kinds of projects and daily tasks can I expect during a remote internship in physics?

As a remote physics intern, you can expect to work on data analysis, run simulations, assist with literature reviews, and possibly help develop or test theoretical models. Daily tasks often include attending virtual meetings, collaborating with mentors or fellow interns using online platforms, and submitting updates or reports on your progress. Projects may range from analyzing experimental data to computational modeling, depending on the specific research focus of the team. This structure provides valuable exposure to real-world applications of physics and helps develop your research and technical communication skills in a remote setting.

What are the key skills and qualifications needed to thrive in a remote internship physics position, and why are they important?

To thrive as a Remote Internship Physics candidate, you need a solid understanding of core physics concepts, analytical skills, and often current enrollment in a relevant degree program. Familiarity with data analysis tools (such as Python, MATLAB, or Excel), scientific research methods, and sometimes experience with simulation software or lab-reporting systems is beneficial. Strong communication, self-motivation, and time management skills are vital for effective remote collaboration and independent progress. These abilities ensure you can contribute meaningfully to research projects, meet deadlines, and effectively engage with your virtual team.

What job categories do people searching Remote Internship Physics jobs in Washington, DC look for?

The top searched job categories for Remote Internship Physics jobs in Washington, DC are:

Infographic showing various Remote Internship Physics job openings in Washington, DC as of August 2026, with employment types broken down into 8% Internship, 61% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $40,767 per year, or $19.6 per hour.

Skillbridge Internship- AI Software Engineer (Remote)

Vienna, VA • Remote

Knexus
Scientific Research and Development Services • 11 - 50 employees

Internship

Re-posted 23 days ago


Job description

About KnexusDo you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!Position OverviewDuring your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.Key ResponsibilitiesBuild unique and custom AI solutions for DoD agencies.Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.Qualifications and ExperienceDegree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!Warfare qualification is a plus You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.Defense Logistics Agency (DLA)Naval Surface and Mine Warfighting Development Center (SMWDC)Surface Warfare Officer School (SWOS)Department Head tour as a Surface Warfare Officer (SWO)NAVAIROffice of Naval ResearchNaval Research LabDARPA