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Localization Qa Testing Jobs in Duluth, GA (NOW HIRING)

Own and develop the QA strategy, including manual and automated testing frameworks tailored to manufacturing and supply chain applications. * Drive the adoption of best practices for testing ...

QA Lead | Atlanta, GA | Contract or Permanent Job Summary : We are seeking an experienced QA Lead ... This role will lead end-to-end testing efforts across cloud-native microservices, API gateways ...

Establish quality standards, testing methodologies, quality gates, and release readiness criteria aligned with enterprise delivery objectives. * Lead QA planning, estimation, staffing, risk ...

Lead complex testing efforts including integration, performance, and system-level validation * Influence release readiness, quality gates, and production validation strategies * Identify systemic ...

You will be a valuable member of a team of testers and interns, all with the same goal: to provide ... Prepare and manage QA Project Plan * Verify the availability of the QA environment for testing

Manager, Quality Assurance

Atlanta, GA · On-site

$118K - $165K/yr

The ideal candidate will have a strong background in software testing, experience with AI automation technologies, and a passion for modernizing QA practices. Job Duties * Lead the evaluation and ...

You will be a valuable member of a team of testers and interns, all with the same goal: to provide ... Prepare and manage QA Project Plan * Verify the availability of the QA environment for testing

Ability to write test cases and execute testing within a web service environment * Communicate and ... * 4+ years of Quality Assurance/Testing experience Additional Information To apply for this ...

Job Title: QA Lead Location- Alpharetta, GA (Hybrid) Duration- 12 mos. What are the top 3 skills ... Automation testing and coding skills in Core Java • Practical knowledge of one UI & Mobile ...

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Localization Qa Testing information

See Duluth, GA salary details

$10

$36

$65

How much do localization qa testing jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for localization qa testing in Duluth, GA is $36.94, according to ZipRecruiter salary data. Most workers in this role earn between $25.87 and $45.34 per hour, depending on experience, location, and employer.

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

AspectLocalization Qa TestingLocalization Tester
Primary FocusIdentifying bugs and issues in localized software, ensuring quality and functionalityExecuting translation and localization tasks, verifying language accuracy
Skills & CertificationsKnowledge of testing tools, bug tracking, basic localization principlesLanguage proficiency, translation skills, familiarity with localization tools
Work EnvironmentTesting labs, software environments, collaboration with QA teamsTranslation agencies, localization teams, content review settings

Localization Qa Testing primarily involves verifying the quality and functionality of localized software, focusing on bug detection and usability. In contrast, a Localization Tester concentrates on executing translation tasks and ensuring language accuracy. While both roles require familiarity with localization processes, QA Testing emphasizes technical testing skills, whereas Testing involves linguistic and content review skills.

What is Localization QA Testing?

Localization QA Testing is the process of ensuring that software, websites, or digital products are accurately adapted for a specific target language and culture. This involves checking translations, formatting, date/time formats, currencies, and other locale-specific elements to ensure they function correctly and provide a seamless user experience. The goal is to identify and fix any linguistic, cultural, or functional issues before the product is released in a new market.

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

To thrive as a Localization QA Tester, you need strong analytical skills, linguistic fluency in the target language, and a solid understanding of localization processes, often supported by a degree in linguistics, translation, or a related field. Familiarity with bug tracking tools (like JIRA), content management systems, and localization testing platforms is typically required. Attention to detail, cultural sensitivity, and effective communication are crucial soft skills for identifying issues and collaborating with global teams. These skills ensure accurate, culturally appropriate products and seamless user experiences across different markets.

Is localization a good career?

Localization QA testing is a specialized role focused on ensuring translated content and software function correctly across different languages and cultures. It requires attention to detail, knowledge of language nuances, and familiarity with testing tools. The field offers opportunities in tech, gaming, and software industries, often with remote work options and certifications to enhance career prospects.

What is the QA tester's salary?

The salary for a Localization QA Tester typically ranges from $40,000 to $70,000 annually, depending on experience, location, and company size. Entry-level testers may earn less, while experienced professionals with specialized skills can earn higher salaries. Certifications in testing or localization tools can also influence compensation.

What are some common challenges faced in Localization QA Testing, and how can I prepare for them?

Localization QA Testing often involves identifying subtle linguistic, cultural, and functional issues within software or content. Common challenges include managing tight deadlines, handling multiple language versions, and ensuring consistency across regions. Testers frequently collaborate with translators, developers, and product managers, so strong communication skills are essential. To prepare, familiarize yourself with localization tools, stay updated on regional standards, and practice clear documentation of issues to streamline teamwork and bug tracking.

Is QA testing a hard job?

QA testing for localization involves identifying and reporting issues in software translations and cultural adaptations, which requires attention to detail and understanding of language nuances. The job can be challenging due to the need for thorough testing, familiarity with testing tools, and meeting deadlines, but it is manageable with proper training and experience.

What does a localization QA do?

A localization QA (Quality Assurance) tester reviews software, websites, or content to ensure that translations are accurate, culturally appropriate, and function correctly across different languages and regions. They identify and report issues related to language, formatting, layout, and functionality, often using testing tools and following specific localization standards to ensure a seamless user experience worldwide.
Infographic showing various Localization Qa Testing job openings in Duluth, GA as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $76,830 per year, or $36.9 per hour.
QA AI Technical Professional

QA AI Technical Professional

Perficient, Inc.

Alpharetta, GA • On-site

Full-time

Posted 24 days ago


Job description

Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world's most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what's possible - while building a career filled with growth, balance, and purpose.           

The QA AI Technical Professional is a senior, hands-on leader focused on defining, building, and scaling AI-enabled QA capabilities across Perficient and key client accounts. This role combines deep QA and AI/ML knowledge with a strong consulting mindset to shape our AI QA strategy, design technical solutions, support sales and delivery, and drive market differentiation. The QA AI Technical Professional partners closely with QA Practice Leaders, QA SMEs (Functional, Automation, Performance, Mobile, Data/ETL, Accessibility, Security, etc.), and account teams to research emerging AI technologies, build reusable assets and accelerators, and ensure successful adoption of AI in QA practices. This role is actively engaging with clients' programs.

Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; advanced degree or relevant certifications in AI/ML, cloud, or QA (ISTQB, etc.) are a plus.
  • 15+ years of experience in QA/Testing, including significant experience in test automation and modern QA practices (Agile, DevOps, CI/CD).
  • Handson experience with AI/ML and/or GenAI applied to software quality (e.g., test generation, code analysis, defect clustering, NLPbased testing, LLMbased assistants).
  • Strong understanding of QA tools and ecosystems, plus familiarity with AI platforms and services (cloud AI services, LLMs, ML frameworks).
  • Expert at diagnosing business needs, engineering AI strategies, and selling vision to executive leadership.
  • Demonstrated consulting mindset: able to structure problems, perform market/technical analysis, synthesize insights, and present clear recommendations.
  • Proven ability to design technical solutions and reference architectures that integrate AI into QA pipelines and toolchains.
  • Experience supporting presales and delivery: proposals, estimations, PoCs, demos, and executive presentations.
  • Excellent communication and presentation skills, especially with new prospects and senior/executive stakeholders.
  • Strong collaboration skills; comfortable working with Practice Leaders, architects, SMEs, sales, marketing, and partners.
  • Analytical, data driven approach with attention to detail and a focus on measurable outcomes and ROI.
  • High level of English written and verbal communication skills.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Applications will be accepted until the position is filled or the posting removed.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $92,118 to $202,730. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.

Disability Accommodations

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

#LI-SH1  #LI-AN1

Disclaimer:  The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification.  Management retains the discretion to add or change the duties of the position at any time. 

         Research, Market Analysis & Benchmarking

  • Continuously scan the market for emerging AI/ML technologies, tools, and platforms relevant to QA (e.g., test generation, defect prediction, intelligent automation, code analysis, GenAI for QA).
  • Conduct structured competitive analyses, proofs of concept (PoCs), and benchmark evaluations of AI powered QA tools and frameworks.
  • Produce clear comparison reports and recommendations (technical, functional, cost, risk) to guide tool selection and strategy.
  • Track industry trends, standards, and best practices to keep Perficient at the forefront of AI in QA. 

    AI QA Technical Solution Design

  • Design end to end AI enabled QA solutions and reference architectures that integrate with clients' existing tools, pipelines, and platforms.
  • Collaborate with QA SMEs to embed AI across different testing types: test case generation, test data, regression optimization, nonfunctional testing, risk based testing, etc.
  • Define technical patterns, APIs, data pipelines, and integration models for using AI services and models (including GenAI, LLMs, and traditional ML) within QA workflows.

    Sales, PreSales & Delivery Support

  • Establish standards and guardrails for responsible, secure, and compliant use of AI in QA.
  • Support sales and account teams in qualifying and shaping AI QA opportunities with both existing clients and new prospects.
  • Lead and/or contribute to solutioning, estimations, and RFP/RFI responses for AI enabled QA engagements.
  • Create and deliver compelling, business-oriented presentations and demos that clearly articulate value, ROI, and differentiation of our AI QA capabilities.
  • Provide expert guidance during delivery, supporting technical architects, QA leads, and development teams in implementing AI QA solutions and resolving complex technical issues.
  • Understand business challenges, design strategic AI solutions, and pitch it effectively to C-suite clients.

    Use Cases, Assets & Marketing Materials

  • Identify high impact AI QA use cases across industries and technologies; prioritize those with strong business value and feasibility.
  • Design and build reusable use cases, accelerators, and demo environments that can be leveraged across accounts and pursuits.
  • Create technical and business friendly collateral (presentations, playbooks, one pager, whitepapers, blogs, videos) to support marketing and sales campaigns.

    Partnerships & Ecosystem Management

  • Partner with Marketing and QA Practice Leaders to position Perficient as a thought leader in AI driven QA Approach.
  • Manage and grow relationships with strategic AI and QA tool vendors, cloud providers, and platform partners.
  • Evaluate and recommend partnership opportunities to enhance Perficient's AI QA offerings and go to market.
  • Coordinate joint initiatives with partners (co-selling, co-marketing, webinars, pilots, training) and ensure alignment with QA practice strategy.
  • Stay current with partner roadmaps and advocate for capabilities that support our clients' needs.

    Talent Strategy & Community Development

  • Help define the skills, roles, and competency model required for AI enabled QA (e.g., AI QA Engineer, AI Test Architect).
  • Work with QA Practice Leaders to shape hiring profiles, training curricula, and certification paths related to AI in QA.
  • Mentor QA engineers, leads, and architects on AI concepts, tools, and solution patterns; help upskill teams through workshops and internal enablement sessions.
  • Foster an active internal community around AI QA, promoting knowledge sharing, experimentation, and reuse.

    Consulting, Collaboration & Stakeholder Management

  • Act as a trusted advisor to QA Practice Leaders, engagement leaders, and client stakeholders on the strategic adoption of AI in QA.
  • Collaborate closely with QA SMEs across all testing domains to ensure solutions are practical, scalable, and aligned to real delivery needs.
  • Lead structured, rational conversations with stakeholders-clarifying goals, constraints, risks, and expected outcomes of AI initiatives.