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Machine Translation Editing Jobs (NOW HIRING)

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

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 ...

Propio

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

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 ...

Propio Language Services

AI Engineer II

Overland Park, KS · On-site

$94K - $129K/yr

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 ...

Prisma International, Inc.

TRANSLATOR - LEGAL

San Diego, CA · On-site

$46K - $61K/yr

You will be providing written translation, editing and proofreading from English into your native ... Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ...

Prisma International, Inc.

TRANSLATOR - LEGAL

San Diego, CA · Remote

$45K - $58K/yr

You will be providing written translation, editing and proofreading from English into your native ... Machine/AI translation is strictly prohibited. * Adhere to all project work instructions ...

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Machine Translation Editing information

What is machine translation editing?

Machine translation editing is the process of reviewing and improving text that has been automatically translated by a computer program. Editors check for accuracy, fluency, and context to ensure the translation reads naturally and conveys the intended meaning. This often involves correcting grammar, terminology, and cultural nuances that automated systems may miss. The goal is to produce a final text that is both accurate and easy to understand for native speakers.

What skills and qualifications are needed to thrive as a machine translation editor?

To thrive as a Machine Translation Editor, you need strong linguistic proficiency in both source and target languages, attention to detail, and a background in translation or linguistics. Familiarity with computer-assisted translation (CAT) tools, machine translation post-editing systems, and terminology databases is typically required. Excellent communication, adaptability, and critical thinking set top editors apart by enabling effective collaboration and nuanced language corrections. These skills are essential to ensure that machine-generated translations are accurate, contextually appropriate, and meet client or publication standards.

What are common challenges faced by machine translation editors, and how can they be managed?

Machine translation editors often encounter challenges such as handling nuanced language, idiomatic expressions, and industry-specific terminology that automated systems may not accurately capture. To manage these challenges, editors frequently collaborate with subject matter experts and use specialized glossaries to ensure high-quality output. Additionally, staying updated on advances in machine translation technology and maintaining strong linguistic skills are crucial for delivering precise and culturally appropriate translations. Effective communication with project managers and translators also helps address ambiguous or unclear content promptly.

What is the difference between Machine Translation Editing vs Proofreading?

AspectMachine Translation EditingProofreading
Primary FocusRefining machine-generated translations for accuracy and fluencyChecking for grammatical, spelling, and punctuation errors in a final text
Required SkillsLanguage proficiency, editing skills, understanding of translation nuancesStrong language skills, attention to detail
Work EnvironmentOften involves working with translation software and toolsReviewing final documents, often in publishing or editing settings
Industry UsageCommon in localization, translation agencies, tech companiesUsed across publishing, media, and editing industries

Machine Translation Editing focuses on improving machine-generated translations for accuracy, while Proofreading involves final error checks on completed texts. Both roles require strong language skills but serve different stages in the translation and editing process.

What other helpful pages are available for Machine Translation Editing?

Other pages related to Machine Translation Editing:

Infographic showing various Machine Translation Editing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 3% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI Engineer II

Overland Park, KS • On-site

Propio
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Propioexternal

$94K - $129K/yr

Full-time

Re-posted 25 days ago

Propio rating

6.1

Company rating: 6.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

376th of 501 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 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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