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Internship Remote Japanese Speaking Jobs (NOW HIRING)

The Borgen Project

$15.50 - $20.50/hr

This is a part-time 12-hours per week, 12 week, unpaid remote internship. If your availability is ... Speaking to groups, classes and organizations. Writing letters of support for key programs to ...

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Internship Remote Japanese Speaking information

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How much do internship remote japanese speaking jobs pay per month?

As of Jul 13, 2026, the average monthly pay for internship remote japanese speaking in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What is the difference between Internship Remote Japanese Speaking vs Customer Service Representative?

AspectInternship Remote Japanese SpeakingCustomer Service Representative
CredentialsBasic Japanese language skills, possibly some coursework or certificationCustomer service experience, communication skills, sometimes specific industry certifications
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, regular shifts, customer interaction
Industry UsageTech, e-commerce, translation, or localization companiesRetail, telecom, finance, and service industries
Search & Comparison IntentFocus on language skills and remote internship opportunitiesFocus on customer interaction and support roles

Internship Remote Japanese Speaking roles typically involve language skills and project-based work in tech or localization sectors, while Customer Service Representatives focus on direct customer support across various industries. Both roles may be remote but differ in daily tasks and required experience.

What are Internship Remote Japanese Speaking jobs?

Internship Remote Japanese Speaking jobs are internship positions that allow individuals to work from anywhere while using their Japanese language skills. These roles often involve tasks such as translation, customer support, market research, or content creation for companies that have Japanese clients or audiences. Such internships provide valuable real-world experience for students or recent graduates who are proficient in Japanese and interested in international business, language services, or cultural exchange. Remote internships offer flexibility and the chance to work with global teams without relocating. Applicants typically need strong Japanese language abilities and basic technical skills for online collaboration.

What are common challenges faced by remote Japanese-speaking interns, and how can they be addressed?

Remote Japanese-speaking interns often navigate time zone differences, language barriers, and limited in-person interaction. To overcome these challenges, it’s important to establish clear communication routines with supervisors and team members, utilize collaboration tools proficiently, and actively seek feedback. Participating in virtual team meetings and using both Japanese and English effectively can help bridge cultural and linguistic gaps, leading to a more rewarding internship experience.

What are the key skills and qualifications needed to thrive as an Internship Remote Japanese Speaking, and why are they important?

To thrive as an Internship Remote Japanese Speaking, you need proficiency in both Japanese and English, strong organizational abilities, and relevant academic or professional background. Familiarity with remote collaboration tools like Zoom, Slack, and Microsoft Office, as well as any industry-specific software, is often required. Excellent communication, time management, and cross-cultural understanding are important soft skills that set candidates apart. These skills ensure effective remote collaboration, clear communication across language barriers, and successful completion of assigned tasks in a global work environment.
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Internship Remote Japanese Speaking jobs near you
Infographic showing various Internship Remote Japanese Speaking job openings in the United States as of July 2026, with employment types broken down into 13% Internship, 45% Full Time, 29% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.
Skillbridge Internship- AI Software Engineer (Remote)

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • Remote

Internship

Re-posted 4 days ago

Job description

About Knexus

Do 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 Overview

During 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 Responsibilities
  • Build 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 Experience
  • Degree 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)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA