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Internship Ai Translator Jobs (NOW HIRING)

AI Product Specialist

New York, NY ยท On-site

$50K - $60K/yr

Serve as an internal advocate and translator, connecting what's technically possible with what ... experience (internships, campus leadership, personal projects, and coursework all count) * Has ...

Serve as an internal advocate and translator, connecting what's technically possible with what ... experience (internships, campus leadership, personal projects, and coursework all count) * Has ...

AI Product Specialist

New York, NY ยท On-site

$50K - $60K/yr

Serve as an internal advocate and translator, connecting what's technically possible with what ... experience (internships, campus leadership, personal projects, and coursework all count) * Has ...

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Internship Ai Translator information

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How much do internship ai translator jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship ai translator in the United States is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.88 per hour, depending on experience, location, and employer.

What is an internship AI translator?

An Internship AI Translator is typically a student or recent graduate who assists in translating written or spoken content using artificial intelligence tools. This role combines language skills with technology, helping organizations localize documents, websites, or software using AI-powered translation platforms. Interns may also help evaluate and improve the accuracy of machine translations, provide feedback to developers, and support language data processing tasks. The position is a great opportunity to gain experience in both language services and artificial intelligence applications.

What types of projects can an internship AI translator expect to work on during their internship?

As an AI Translator intern, you can expect to work on a variety of projects that involve translating content using both human linguistic skills and AI-powered tools. Typical tasks include assisting in training and improving machine translation models, reviewing AI-generated translations for accuracy, and collaborating with linguists, engineers, and project managers to refine language datasets. You'll often be involved in testing translation software, providing feedback on output quality, and supporting the localization of digital products. This experience offers hands-on exposure to both the technical and linguistic aspects of AI translation in a collaborative team environment.

What are the key skills and qualifications needed to thrive as an internship AI translator, and why are they important?

To excel as an Internship AI Translator, you need strong proficiency in at least two languages, foundational knowledge of translation principles, and an understanding of AI or machine learning concepts. Familiarity with computer-assisted translation (CAT) tools, neural machine translation systems, and related software is highly valuable. Attention to detail, cultural awareness, and effective communication are crucial soft skills for delivering accurate and contextually appropriate translations. These abilities enable high-quality translations that leverage AI technology while preserving linguistic and cultural nuances.

What is the difference between Internship Ai Translator vs Ai Translator?

AspectInternship Ai TranslatorAi Translator
Required CredentialsBasic language skills, some technical knowledge, ongoing trainingAdvanced language proficiency, technical understanding, possibly certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time professional role, independent work, collaborative teams
Employer & Industry UsageEducational institutions, tech startups, translation agenciesTech companies, AI development firms, translation services
Search & Comparison IntentLearning, entry-level opportunities, career explorationProfessional growth, skill development, career advancement

The Internship Ai Translator is an entry-level position focused on learning and supporting AI translation projects under supervision. In contrast, an Ai Translator is a full-time professional role requiring advanced skills and certifications. The internship provides foundational experience, while the full role involves independent work and career progression in the AI translation industry.

More about Internship Ai Translator jobs

What cities are hiring for Internship Ai Translator jobs?

Cities with the most Internship Ai Translator job openings:

What are the most commonly searched types of Ai Translator jobs?

The most popular types of Ai Translator jobs are:

What states have the most Internship Ai Translator jobs?

States with the most job openings for Internship Ai Translator jobs include:

Infographic showing various Internship Ai Translator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $53,349 per year, or $25.6 per hour.

PhD Research Intern AI Memory & Personalized Education

7Edu Impact Academy

Cupertino, CA โ€ข On-site

$5.0K/mo

Full-time

Re-posted 29 days ago


Job description

About 7EDU

7EDU is an education technology organization dedicated to long-term academic planning and student development. For over a decade, we have supported K–12 learners through structured advising, college admissions strategy, and personalized mentorship, while building proprietary tools and frameworks to support scalable, data-informed guidance.
Our AI systems are designed to support longitudinal educational decision-making — integrating student progress, parental input, and instructional context to enable personalized, responsible, and evidence-based support.

About the Role
We are seeking a PhD-level researcher for a 10–12 week summer internship focused on a critical technical and design challenge: Educational AI Memory. The selected candidate will define how an AI system effectively retains, synthesizes, and utilizes long-term context from multiple perspectives to drive truly personalized education.
We are building an advanced AI platform designed to facilitate long-term educational planning and decision-making across three key stakeholders: Students, Parents, and Teachers. This role combines theoretical framework design, applied AI prototyping, and empirical validation in a live product environment.
Key Responsibilities

 • Framework Design: Develop a theoretical framework for “Triangulated AI Memory” within an educational context.
 • Applied Research: Collaborate with the engineering team to prototype memory architectures (e.g., RAG systems, vector stores, long-term context management) aligned with pedagogical objectives.
 • User Modeling: Explore and formalize methods for representing evolving student, parent, and teacher perspectives within AI systems.
 • Validation Studies: Design and conduct qualitative and/or quantitative research to evaluate system utility, trust, and personalization effectiveness.
 • Product Translation: Translate research concepts into actionable technical specifications.
 • Publication: Contribute to a co-authored paper targeting top-tier venues (e.g., CHI, LAK, EDM, NeurIPS) based on the summer’s research.

Qualifications

• Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Artificial Intelligence, Learning Sciences, or a related field, with a research focus in machine learning, memory architectures, user modeling, or human-centered AI
 • Strong track record of research in AI and machine learning
 • Demonstrated experience in User Modeling, Recommender Systems, Large Language Models (LLMs), or related areas
 • Solid understanding of the ethical, privacy, and design implications of AI in human-centered environments
 • Ability to translate theoretical research concepts into clear, actionable product and technical specifications
Please email your application to: hiringteam@7edu.org 
Email Subject: AI Research Internship FULL NAME 

  • Resume
  • A brief cover letter outlining your research interests regarding AI memory or user modeling.
  • A link to Google Scholar or an attachment of one relevant writing sample/paper.