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Ai Localization Jobs in Texas (NOW HIRING)

CVS Health

Lead Director, AI Enablement

Irving, TX · On-site

Establish and maintain a working relationship with the enterprise finance AI governance function - ensuring Finance Technology Enablement's standards serve as an aligned localization of enterprise ...

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Ai Localization information

What is AI localization?

AI localization refers to the process of adapting artificial intelligence systems, such as chatbots, voice assistants, or machine learning models, to work effectively in different languages, cultures, and regions. This involves translating content, adjusting for cultural nuances, and ensuring that the AI understands and responds appropriately to local contexts. AI localization helps make technology accessible and relevant to global audiences, improving user experience and engagement. It often requires a combination of linguistic expertise, technical knowledge, and cultural awareness.

What are the key skills and qualifications needed to thrive as an AI Localization Specialist, and why are they important?

To thrive as an AI Localization Specialist, you need expertise in linguistics, translation, and a solid understanding of AI or machine learning concepts, often supported by a degree in languages, translation, or computer science. Proficiency with localization management systems, CAT tools, and familiarity with programming languages or AI platforms is highly beneficial. Strong attention to detail, cross-cultural communication, and problem-solving skills help ensure accurate and culturally appropriate translations. These skills are crucial for delivering localized AI products that resonate with global users and maintain technical accuracy.

How does an AI Localization specialist typically collaborate with engineering and product teams during a project?

AI Localization specialists often work closely with engineering and product teams to ensure that AI-driven products are accurately adapted for different languages and regions. This involves regular meetings to discuss project requirements, reviewing source content, and providing feedback on technical constraints that may impact localization. Close collaboration helps address challenges such as adapting user interfaces, maintaining context in translations, and ensuring cultural relevance. Effective communication and an understanding of both linguistic and technical aspects are key to delivering a high-quality localized product.
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Ai Localization jobs near you
Infographic showing various Ai Localization job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Senior/Staff Software Engineer - Localization & Mapping

Avride

Austin, TX • On-site

$121K - $160K/yr

Full-time

Posted 16 days ago

Job description

About the team
Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team.
About the role
We are looking for an experienced senior or staff software engineer to help us build Avride's Localization and Mapping subsystems. You will design and implement on-board localization algorithms and cloud mapping algorithms, improve the precision and reliability of rover localization in hard-to-navigate environments, and improve and speed up cloud mapping SLAM-based processes of lidar map building. You will be able to make data-driven decisions and innovate at one of the exciting frontiers of technological advancement.
What you'll do
  • Develop the cloud mapping subsystem with graph optimization at its core.
  • Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
  • Support sister development and operation teams on issues related to localization.
What you'll need
  • 3+ years of professional software engineering experience
  • Strong C++ programming skills
  • Solid understanding of algorithms, data structures, and software design patterns
  • Solid soft skills - intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication
Nice to have
  • Experience in robotics. Good knowledge of EKF, localization, calibration, and point cloud processing algorithms is welcome.
  • Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
  • Relevant publications or achievements in hackathons / programming contests
  • Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms' performance state-of-the-art and beyond

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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