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Translation Jobs (NOW HIRING)

Navex Global, Inc.

Translation Specialist

Charlotte, NC · On-site

$22/hr

As a Translation Specialist, you will help manage the Contact Center translations queue and also translate a variety of confidential web submissions from all around the world. This translated ...

Lehigh University

$19K - $23K/mo

Coordinator, Research Translation Job no: 503839 Work type: Nonexempt Staff Part-time Location: Partial Remote, Bethlehem Categories: Administrative Services Research Translation Coordinator ...

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$27.5K

$57.2K

$87.5K

How much do translation jobs pay per year?

As of Jul 19, 2026, the average yearly pay for translation in the United States is $57,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What do translators do?

Translators convert written materials from one language into another while preserving the original meaning, tone, and style. They work with a variety of documents, including books, articles, websites, legal papers, and technical manuals. Translators must have excellent language proficiency, cultural knowledge, and attention to detail to ensure accuracy. Their work often involves researching terminology and collaborating with clients to clarify ambiguities.

What are the highest paying translation jobs?

Highest paying translation jobs typically involve specialized fields such as legal, medical, or technical translation, often requiring advanced certifications and expertise. Freelance translators with rare language pairs or those working for multinational corporations can command higher rates, especially when working on complex or sensitive projects. Additionally, roles in localization and working with translation technology tools may offer higher compensation.

What is the difference between Translation vs Interpreter?

AspectTranslationInterpreter
Required CredentialsLanguage proficiency, translation certifications (e.g., ATA)Language proficiency, interpreting certifications (e.g., CI, CT)
Work EnvironmentOffice, remote, or freelance settingsConferences, meetings, live events
Industry UsagePublishing, legal, technical, businessConferences, legal proceedings, healthcare
Search & Comparison IntentTranslation vs Interpreter

Translation involves converting written text from one language to another, typically done in a static setting like documents or websites. Interpreter work focuses on real-time spoken communication, such as at conferences or legal proceedings. Both roles require strong language skills and certifications, but they differ mainly in the medium (written vs spoken) and work environment.

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

To excel as a Translator, you need advanced proficiency in at least two languages, a deep understanding of grammar and cultural nuances, and often a relevant degree or certification in translation studies. Familiarity with computer-assisted translation (CAT) tools, terminology databases, and industry-specific software is commonly required. Attention to detail, strong communication skills, and cultural sensitivity are vital soft skills that set top translators apart. These abilities are crucial for accurately conveying meaning, maintaining context, and ensuring clear communication between diverse audiences.

Is AI replacing translator jobs?

AI translation tools are increasingly used to assist human translators by providing quick and cost-effective translations, but they do not fully replace the need for skilled translators who interpret context, nuance, and cultural differences. Human translators are still essential for high-quality, accurate, and culturally sensitive work, especially in specialized fields. Many translation jobs now involve editing and post-editing AI-generated content, requiring language proficiency and technical skills.

How do translators typically balance accuracy and cultural nuance when working on projects?

Translators often face the challenge of ensuring translations are both accurate and culturally appropriate. This involves not only conveying the literal meaning of the original text but also adapting idioms, tone, and context to resonate with the target audience. Many translators work closely with clients or subject matter experts to clarify ambiguities and consult style guides or glossaries specific to the industry. Collaboration with editors and other translators is also common, especially for large projects, to maintain consistency and quality throughout the work.

How do I get a job as a translator?

To get a job as a translator, you typically need fluency in at least two languages and often a relevant degree or certification such as the ATA certification. Building a portfolio, gaining experience through freelance work, and using translation tools like CAT software can improve employability. Job opportunities are found through freelance platforms, language service providers, and direct applications to companies requiring translation services.

What qualifications do I need to be a translator?

To become a translator, you typically need a high level of proficiency in at least two languages, often demonstrated through a bachelor's degree in translation, linguistics, or a related field. Certification from professional organizations, such as the American Translators Association, can enhance job prospects, and strong writing and cultural knowledge are also important skills.
More about Translation jobs
What cities are hiring for Translation jobs? Cities with the most Translation job openings:
What are the most commonly searched types of Translation jobs? The most popular types of Translation jobs are:
What states have the most Translation jobs? States with the most job openings for Translation jobs include:
What job categories do people searching Translation jobs look for? The top searched job categories for Translation jobs are:
Translation jobs near you
Infographic showing various Translation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $57,200 per year, or $27.5 per hour.
AI Engineer II - Translation

AI Engineer II - Translation

Propio Language Services

Overland Park, KS • On-site

Full-time

Re-posted 5 days ago

Job description

Job Type
Full-time
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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