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Localization Quality Assurance Jobs (NOW HIRING)

... annotation, localization QA, or related review workflows. • Strong ability to evaluate work against detailed rubrics and guidelines, identify quality gaps, and explain issues clearly and ...

QA Lead

Irvine, CA · Hybrid

$24 - $30/hr

Conduct English Localization testing across a wide variety of game titles. * Compile QA status updates and consolidated project reports from internal teams and external vendors. * Identify and ...

QA Lead

Irvine, CA · On-site

$24 - $30/hr

Conduct English Localization testing across a wide variety of game titles. * Compile QA status updates and consolidated project reports from internal teams and external vendors. * Identify and ...

QA Specialist

Irvine, CA · Hybrid

$21 - $28/hr

The QA Specialist is responsible for executing assigned test plans on pre-release software builds ... Conduct English Localization testing across a wide variety of game titles. * Perform first-party ...

QA Specialist

Irvine, CA · On-site

$21 - $28/hr

The QA Specialist is responsible for executing assigned test plans on pre-release software builds ... Conduct English Localization testing across a wide variety of game titles. * Perform first-party ...

Our industry-leading services include game development, art production, audio production, quality assurance, localization, localization QA, player support, community management, and datasets. We're ...

RWS is looking for Bilingual Localization QA Tester with a keen eye for detail, interested in Linguistics or Translation to work with us in a multicultural environment . Candidates must have native ...

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Localization Quality Assurance information

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$12

$23

$43

How much do localization quality assurance jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for localization quality assurance in the United States is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.28 per hour, depending on experience, location, and employer.

Which is higher position, QA or QC?

In the context of Localization Quality Assurance, QA (Quality Assurance) is a broader, strategic role focused on improving processes to prevent errors, while QC (Quality Control) involves inspecting and testing products to identify defects. QA positions are generally considered higher or more senior because they involve oversight and process improvement, whereas QC roles are more task-specific and operational. Both are essential, but QA often leads to managerial or senior roles in quality management.

What are the typical challenges faced by Localization Quality Assurance specialists, and how can they effectively address them?

Localization Quality Assurance (LQA) specialists often encounter challenges such as identifying nuanced linguistic errors, ensuring cultural relevance, and maintaining consistency across multiple languages. They also need to work with tight deadlines while coordinating with translators, developers, and project managers. To effectively address these challenges, LQA specialists rely on strong attention to detail, use specialized testing tools, and foster clear communication within their team. Regular collaboration and feedback loops help ensure high-quality localized content that meets both linguistic and functional standards.

What are the key skills and qualifications needed to thrive as a Localization Quality Assurance (LQA) Specialist, and why are they important?

To thrive as a Localization Quality Assurance Specialist, you need strong language proficiency, attention to detail, and a solid understanding of localization processes, often supported by a degree in linguistics or a related field. Familiarity with translation management systems (TMS), CAT tools, and bug tracking software like JIRA is typically required. Outstanding problem-solving abilities, communication, and cultural awareness are essential soft skills for identifying nuanced issues and collaborating with global teams. These skills ensure that localized content meets both linguistic and functional standards, delivering a high-quality user experience across markets.

What are the top 3 skills for a quality assurance specialist?

A localization quality assurance specialist needs strong attention to detail to identify errors, excellent communication skills to report issues clearly, and proficiency with testing tools and software to evaluate localized content effectively. Knowledge of language nuances and familiarity with project management processes also enhance performance in this role.

What is the difference between Localization Quality Assurance vs Localization Tester?

AspectLocalization Quality AssuranceLocalization Tester
Primary FocusEnsuring overall localization quality, consistency, and adherence to standards across projectsTesting specific localized content for bugs, errors, and functionality issues
ResponsibilitiesReviewing translations, style guides, and localization processes; coordinating with teamsExecuting test cases, reporting bugs, verifying fixes in localized content
Skills & CertificationsKnowledge of localization processes, QA methodologies, language skillsTesting tools, bug tracking, language proficiency
Work EnvironmentCollaborative, project management, cross-team communicationTechnical testing, software tools, detailed bug reporting

Localization Quality Assurance involves overseeing the entire localization process to ensure quality and consistency, while Localization Testers focus on testing specific localized content for errors. Both roles are essential but differ in scope and responsibilities.

What does a localization QA do?

A localization QA (Quality Assurance) specialist reviews translated content to ensure accuracy, consistency, and cultural appropriateness. They test localized software or products for linguistic errors, functionality issues, and adherence to project standards, often using tools like bug trackers and style guides.

What skills are needed for localization?

Localization quality assurance professionals need strong language skills in both source and target languages, attention to detail, and understanding of cultural nuances. Familiarity with localization tools, such as CAT (Computer-Assisted Translation) software, and knowledge of industry standards like ISO 17100 can enhance effectiveness. Good communication and problem-solving skills are also essential for identifying and resolving localization issues efficiently.

What is Localization Quality Assurance?

Localization Quality Assurance (LQA) is the process of testing and reviewing translated content to ensure it is accurate, culturally appropriate, and functions correctly in its intended context. LQA professionals check for linguistic errors, formatting issues, and technical glitches that may have occurred during the localization process. Their work helps ensure that products, such as software, websites, or games, deliver a seamless and high-quality experience to users in different regions and languages.
More about Localization Quality Assurance jobs
What cities are hiring for Localization Quality Assurance jobs? Cities with the most Localization Quality Assurance job openings:
What states have the most Localization Quality Assurance jobs? States with the most job openings for Localization Quality Assurance jobs include:
What job categories do people searching Localization Quality Assurance jobs look for? The top searched job categories for Localization Quality Assurance jobs are:
Infographic showing various Localization Quality Assurance job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, 31% Contract, and 6% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $48,237 per year, or $23.2 per hour.

Full-time

Posted 11 days ago


Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking an English Quality Assurance Lead to oversee quality and consistency across AI training projects, review AI-generated content, and provide feedback to ensure adherence to project standards.
Responsibilities:
• Quality monitoring: Spot-check submitted items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, ensuring contributors understand instructions and edge cases.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, and quality standards.
• Quality alignment: Ensure all trainers and QAs apply guidelines consistently and understand changes as projects evolve.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for future projects.
Qualifications:
Required:
• Bachelor’s or Master’s degree in English, Linguistics, Communications, Journalism, Education, AI/Data Annotation, Quality Assurance, or a relevant domain/related field.
• Strong grasp of the English language, including grammar, clarity, tone, register, structure, and written feedback quality.
• 3+ years of professional experience in quality assurance, editing, content review, AI training, education, annotation, localization QA, or related review workflows.
• Strong ability to evaluate work against detailed rubrics and guidelines, identify quality gaps, and explain issues clearly and constructively.
• Excellent communication skills, including the ability to answer contributor questions, share project updates, and provide actionable feedback in writing.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
• Reliable, self-directed, and able to manage contributor activation, follow-ups, escalations, and quality checks across time zones.
Preferred:
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.