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Translation Engineer Jobs (NOW HIRING)

Propio

AI Engineer II - Translation

Leawood, KS · On-site

We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the ...

Propio

AI Engineer II - Translation

Overland Park, KS · On-site

We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the ...

Apple

Machine Translation Quality Engineer

Seattle, WA

$142K - $214K/yr

The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an experienced Quality Engineer/SDET to own the ...

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Translation Engineer information

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$39K

$101.8K

$137.5K

How much do translation engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for translation engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Translation Engineer, and why are they important?

To thrive as a Translation Engineer, you need a strong background in computer science, programming (such as Python or Java), and familiarity with localization workflows, typically backed by a relevant degree or experience. Expertise in translation management systems (TMS), CAT tools, and version control systems, as well as knowledge of internationalization standards, is highly valued. Strong problem-solving, communication, and cross-cultural collaboration skills help you manage complex projects and coordinate with linguists and developers. These competencies ensure efficient, accurate, and scalable localization processes for global products.

Which language translator is highly paid?

Highly paid language translators are often those who specialize in rare or in-demand languages such as Japanese, Chinese, Arabic, or Russian. Translators with advanced skills, certifications, and experience working with technical or legal content tend to earn higher salaries, especially when working as freelance professionals or for multinational companies.

How do Translation Engineers typically collaborate with localization teams and software developers?

Translation Engineers play a crucial role in bridging the gap between technical teams and localization specialists. They often work closely with software developers to ensure that products are internationalization-ready, extracting translatable strings and integrating localization tools into the development workflow. Collaboration with localization teams involves providing technical support for translation platforms, resolving file format issues, and maintaining translation memory systems. This cross-functional teamwork ensures that global releases are smooth and that language quality is maintained across all platforms.

What is the highest paying translator job?

The highest paying translator jobs are often in specialized fields such as legal, medical, or technical translation, especially for rare or in-demand languages. Senior translators with extensive experience, certifications, and proficiency in CAT tools can command higher salaries, sometimes exceeding six figures annually in certain markets or organizations.

What is a translation engineer?

A translation engineer is a professional who develops and maintains language processing tools, such as translation software and machine learning models. They often work with natural language processing (NLP) technologies, coding, and data management to improve translation accuracy and efficiency.

What is the difference between Translation Engineer vs Localization Specialist?

AspectTranslation EngineerLocalization Specialist
Required CredentialsBachelor's in Computer Science, Linguistics, or related field; knowledge of translation toolsBachelor's in Translation, Linguistics, or related; experience with cultural adaptation
Work EnvironmentTechnical teams, software development, translation tool managementMultilingual teams, cultural adaptation, content localization
Employer & Industry UsageTech companies, translation agencies, software firmsGlobal corporations, media, publishing, localization agencies

While both roles involve language and translation, a Translation Engineer focuses on developing and maintaining translation tools and systems, whereas a Localization Specialist handles adapting content for specific markets and cultures. They often collaborate but serve different functions within the localization process.

What are Translation Engineers?

Translation Engineers are professionals who specialize in managing the technical aspects of translating digital content. They prepare files for translation, ensure compatibility with translation memory tools, and troubleshoot issues related to localization workflows. Their role often involves working closely with translators, project managers, and software developers to ensure that translated materials are delivered accurately and efficiently. Translation Engineers also help automate processes and maintain quality standards in multilingual projects.

Is AI replacing translator jobs?

AI technology is increasingly used to assist translation engineers by providing automated translation tools and improving efficiency. However, human translators are still essential for tasks requiring cultural understanding, nuance, and quality control, making AI a complement rather than a complete replacement in the translation industry.
More about Translation Engineer jobs
What cities are hiring for Translation Engineer jobs? Cities with the most Translation Engineer job openings:
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Translation Engineer jobs near you
Infographic showing various Translation Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
AI Engineer II - Translation

AI Engineer II - Translation

Propio

Leawood, KS • On-site

Full-time

Posted 8 days ago

Propio rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

326th of 454 rated business services

Job description

Description:

Propio is on a mission to make communication accessible to everyone. As a leader in real-time interpretation and multilingual language services, we connect people with the information they need across language, culture, and modality. We’re committed to building AI-powered tools to enhance interpreter workflows, automate multilingual insights, and scale communication quality across industries.


We are seeking an AI Engineer II - Translation that will design and optimize machine learning solutions that enhance Propio's translation and localization capabilities, working closely with the translation team and the AI Engineers. This role focuses on developing neural machine translation models optimized for low-resource and specialized languages, improving post-editing workflows, and integrating AI seamlessly with linguist workflows to deliver faster and more accurate translations.
Key Responsibilities:

  • Design, train, and deploy neural machine translation (NMT) systems for multilingual scenarios, with emphasis on low-diffusion languages.
  • Optimize models for low-resource and specialized domain languages, leveraging techniques like transfer learning and few-shot adaptation.
  • Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs.
  • Develop post-editing and quality assurance tools to augment human translators, incorporating human-in-the-loop feedback.
  • Work closely with linguists, product managers, and engineers to integrate AI into translation pipelines and gather domain feedback.
  • Continuously evaluate and benchmark model performance using standardized metrics (BLEU, COMET) and custom domain-specific metrics.
  • Stay current with research advancements in multilingual NLP and low-resource translation techniques.


Requirements:


Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Computational Linguistics, Statistics, or related field.
  • Strong background in NLP and machine translation systems.
  • Proven experience optimizing models for low-resource or underrepresented languages.
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Experience with multilingual datasets, translation quality evaluation, and human feedback incorporation.

Preferred Qualifications:

  • Prior work in translation, interpretation, summarization, or cross-lingual QA
  • Contributions to open-source NLP projects and translation quality projects
  • Experience working with speech-to-text pipelines or multimodal systems

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