1

Freelance Localization Qa 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 ...

... 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 ...

... 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 ...

next page

Showing results 1-20

Freelance Localization Qa information

See salary details

$23

$34

$42

How much do freelance localization qa jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for freelance localization qa in the United States is $34.86, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Freelance Localization Qa vs Freelance Localization Tester?

AspectFreelance Localization QaFreelance Localization Tester
CredentialsLanguage skills, localization knowledge, QA experienceLanguage skills, testing experience, localization familiarity
Work EnvironmentRemote, project-based, collaboration with localization teamsRemote, project-based, focus on testing localized content
Industry UsageUsed by localization companies, game developers, software firmsUsed by software companies, app developers, localization agencies

Freelance Localization Qa focuses on ensuring the quality and accuracy of localized content through comprehensive reviews, while Freelance Localization Tester primarily tests localized products for bugs and functionality issues. Both roles require language skills and familiarity with localization processes but differ in scope and focus.

More about Freelance Localization Qa jobs
What cities are hiring for Freelance Localization Qa jobs? Cities with the most Freelance Localization Qa job openings:
What are the most commonly searched types of Localization Qa jobs? The most popular types of Localization Qa jobs are:

Full-time

Posted 4 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.