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Localization Analyst Jobs (NOW HIRING)

Localization QA III

Cupertino, CA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Localization QA III Location: Cupertino, California or Austin, TX Duration: Contract Job ID: 171335 ... Inventiveness, analytical skills, and a strong drive to learn and succeed. Preferred Skills:

Localization Tools Integration Engineer

Austin, TX · On-site

$103K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Analyze current localization pipelines and identify migration requirements. * Troubleshoot data conversion and formatting issues. * Collaborate with internal tools teams and game development teams.

New

Showing results 41-60

Localization Analyst information

How does a localization analyst typically collaborate with product and engineering teams during a localization project?

Localization Analysts work closely with product managers and engineers to ensure that translated content aligns with both technical requirements and user experience goals. They often participate in project kickoff meetings, clarify localization requirements, and provide feedback on design aspects that impact language adaptation. Throughout the process, they coordinate with developers to resolve issues such as text expansion, encoding, and integration of translated assets, ensuring a seamless rollout across all supported languages.

What is a localization analyst?

Localization Analysts are professionals who ensure that products, services, or content are adapted appropriately for different languages, cultures, and regions. They analyze and coordinate translation, cultural adaptation, and localization processes to make sure that content is both linguistically accurate and culturally relevant for the target audience. Localization Analysts often work closely with translators, project managers, and developers to oversee the quality and consistency of localized materials. Their work is essential for companies looking to reach global markets effectively.

What is the difference between Localization Analyst vs Translator?

AspectLocalization AnalystTranslator
CredentialsBachelor's in linguistics, translation, or related field; familiarity with CAT toolsLanguage proficiency, translation certifications (e.g., ATA)
Work EnvironmentCollaborates with product teams, localization vendors, and developersWorks independently or with clients to translate text
Industry UsageUsed in tech, gaming, software, and global marketingCommon in publishing, legal, medical, and literary fields

The main difference is that a Localization Analyst focuses on managing and optimizing the localization process across products and platforms, ensuring cultural and technical accuracy. A Translator primarily converts text from one language to another, emphasizing linguistic accuracy. Both roles require language skills, but the Localization Analyst has a broader scope involving project coordination and quality assurance.

What are the key skills and qualifications needed to thrive as a localization analyst, and why are they important?

To thrive as a Localization Analyst, you need strong linguistic skills, cultural awareness, and usually a degree in translation, linguistics, or a related field. Familiarity with computer-assisted translation (CAT) tools, translation management systems (TMS), and sometimes certifications like ATA or localization project management credentials are typical. Excellent attention to detail, problem-solving abilities, and effective communication set top performers apart. These skills are essential to ensure accurate, culturally appropriate translations and seamless project delivery across global markets.
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What job categories do people searching Localization Analyst jobs look for?

The top searched job categories for Localization Analyst jobs are:

Infographic showing various Localization Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution.

Staff Software Engineer, Localization

AeroVect

New York, NY • On-site, Remote

Full-time

Re-posted 29 days ago


Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
  • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
  • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
  • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
  • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
  • Deploy, test, and iterate using data from real autonomous operations

You Have
  • 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
  • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
  • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
  • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
  • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
  • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
  • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
  • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
  • Track record of taking an autonomous system toward driverless operation