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Localization Quality Assurance Jobs in Riverside, CA

Envista

Web Content Specialist

Brea, CA · On-site

$79K - $97K/yr

... undergoes thorough quality assurance checks before going live. This includes validating ... Coordinating with content editors, authors, and the global translation/localization team to prepare ...

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All JobsLocalization Quality Assurance JobsLocalization Quality Assurance Jobs in Riverside, CA

Localization Quality Assurance information

See Riverside, CA salary details

$13

$24

$45

How much do localization quality assurance jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for localization quality assurance in Riverside, CA is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.34 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a localization quality assurance specialist?

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 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 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 job categories do people searching Localization Quality Assurance jobs in Riverside, CA look for?

The top searched job categories for Localization Quality Assurance jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Localization Quality Assurance jobs?

Cities near Riverside, CA with the most Localization Quality Assurance job openings:

Localization Quality Assurance jobs near you
Infographic showing various Localization Quality Assurance job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $50,324 per year, or $24.2 per hour.

Robotics Engineer, Humanoid System Integration

FieldAI

Irvine, CA

$179K/yr

Full-time

Re-posted 27 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment-ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows.
What You'll Do

  • Integrate humanoid subsystems into a reliable full-stack robot system running on physical hardware.

  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.

  • Own robot bring-up, calibration, configuration, diagnostics, and validation workflows.

  • Debug system-level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.

  • Develop integration tests, regression tests, telemetry tools, dashboards, and release-readiness checks.

  • Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.

  • Harden research or prototype capabilities into maintainable, testable, deployment-ready modules.

What You Bring

  • MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems - research projects, competition robotics, or internships with daily hardware exposure.

  • Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome.

  • Strong hands-on experience integrating robotic systems on real hardware - must include physical hardware; simulation-only backgrounds will not be considered.

  • Strong C++ and Python skills in Linux-based robotics environments.

  • Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.

  • Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.

  • Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.

What Sets You Apart

  • You've integrated a humanoid or legged/mobile manipulation platform from bring-up through field deployment - not just research or simulation.

  • You've owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.

  • You've built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.

  • You carry hard-won instincts about what separates a demo-ready system from a deployment-ready one - and you've acted on that distinction.

Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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