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Ai Translator Jobs (NOW HIRING)

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Mandarin Translator

Phoenix, AZ ยท On-site

$28 - $35/hr

Job Title: Mandarin Translator Location: Phoenix, AZ Employment Type: Temp to Hire Industry ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Translation * Accurately translate materials (both digital and hard copy) from Somali into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Kurdish Translators

Reston, VA

$45K - $59K/yr

Translation * Accurately translate materials (both digital and hard copy) from Kurdish into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Kurdish Translators

Reston, VA ยท On-site

$45K - $59K/yr

Translation * Accurately translate materials (both digital and hard copy) from Kurdish into English ... efforts with AI, machine learning, and digital modernization, Mission Software Systems. From ...

Use artificial intelligence (AI) and other technological tools that enhance editing and translation processes and engage in continuous training to stay current with emerging technologies that support ...

... AI translation. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most ...

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Ai Translator information

See salary details

$27.5K

$57.2K

$87.5K

How much do ai translator jobs pay per year?

As of Jun 28, 2026, the average yearly pay for ai translator 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 are the key skills and qualifications needed to thrive in the Ai Translator position, and why are they important?

To thrive as an AI Translator, you need strong linguistic proficiency in multiple languages, expertise in computational linguistics or natural language processing (NLP), and often a relevant degree in linguistics, language studies, or computer science. Familiarity with AI translation tools such as Google Cloud Translation, IBM Watson Language Translator, and CAT (Computer-Assisted Translation) tools, along with certifications like ATA or proficiency in NLP libraries, is highly beneficial. Attention to detail, cultural sensitivity, and strong communication skills are crucial to ensure translations are both accurate and contextually appropriate. These skills ensure high-quality, reliable translation that bridges language barriers and meets the needs of global partners or clients.

Which 3 jobs will survive AI?

AI translators, such as language professionals who interpret and localize content, will continue to be in demand due to the need for cultural nuance and context that AI cannot fully replicate. Healthcare professionals like doctors and nurses will persist because human judgment and empathy are essential in patient care. Skilled trades such as electricians and plumbers are less susceptible to automation, as they require physical dexterity and problem-solving skills that are difficult for AI to replace entirely.

What are some typical challenges faced by AI Translators in their daily work?

AI Translators often encounter challenges such as handling nuanced or idiomatic expressions that automated systems may misinterpret, ensuring cultural relevance in translations, and maintaining context across large volumes of content. Collaborating closely with software engineers and subject matter experts, they must review and refine machine-generated translations to achieve the desired quality. Staying current with advancements in AI translation tools and techniques is essential to improve output and stay competitive. Additionally, balancing speed and accuracy when translating complex or technical material is a common expectation in the role.

How do I become a paid translator?

To become a paid AI translator, develop strong language skills and familiarity with translation tools and AI platforms. Gaining certification in translation or language proficiency can improve job prospects, and building a portfolio of work helps demonstrate your capabilities to potential clients or employers.

Is AI replacing translator jobs?

AI translators are increasingly used for basic and large-scale translation tasks, but human translators remain essential for nuanced, context-sensitive, and culturally accurate translations. AI tools can assist translators by increasing efficiency, but they do not fully replace the need for human expertise, especially in specialized or high-quality translation work.

What is an AI Translator job?

An AI Translator is responsible for using artificial intelligence tools to translate text, audio, or video content between languages while ensuring accuracy and cultural relevance. They may refine AI-generated translations, correct errors, and improve machine learning models. This role requires proficiency in multiple languages, knowledge of AI translation software, and linguistic expertise. AI Translators are often employed in industries such as technology, media, and international business to streamline multilingual communication.

Do AI translators work well?

AI translators are effective for many language pairs and can produce accurate translations quickly, especially with advanced models like neural machine translation. However, they may still struggle with context, idiomatic expressions, and cultural nuances, often requiring human review for high-quality results. Proficiency in language and familiarity with translation tools improve their performance.
What cities are hiring for Ai Translator jobs? Cities with the most 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 Ai Translator jobs? States with the most job openings for Ai Translator jobs include:
What job categories do people searching Ai Translator jobs look for? The top searched job categories for Ai Translator jobs are:
Infographic showing various Ai Translator job openings in the United States as of June 2026, with employment types broken down into 81% Full Time, 9% Part Time, 4% Temporary, and 6% Contract. Highlights an 59% In-person, 1% Hybrid, and 40% 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 โ€ข On-site

Full-time

Posted 13 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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