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Ai Localization Jobs in Michigan (NOW HIRING)

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies. The ideal candidate ...

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies.The ideal candidate will ...

FastTek

User Experience Designer

Dearborn, MI

Manage translators and localization specialists * Understand entire ecosystem of services including ... Should know how to leverage AI technologies Education Required: * Bachelor's Degree Additional Info:

Stefanini

UX Designer

Dearborn, MI · On-site

Manage translators and localization specialists.Understand entire ecosystem of services including ... Should know how to leverage AI technologies. Education RequiredBachelor's degree **Listed salary ...

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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.

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.

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.

What are popular job titles related to Ai Localization jobs in Michigan?

For Ai Localization jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Localization jobs in Michigan look for?

The top searched job categories for Ai Localization jobs in Michigan are:

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Cities in Michigan with the most Ai Localization job openings:

Ai Localization jobs near you

Robotics Engineer - AMR

Optimal Inc.

Warren, MI • On-site

Contractor

Posted 20 days ago

Job description

Robotics Engineer - Autonomous Mobile Robotics (AMR)


Position Summary
We are seeking a highly skilled Robotics Engineer to support the development and deployment of next-generation Autonomous Mobile Robot (AMR) systems. This role focuses on advancing autonomous navigation, localization, mapping, and system integration using ROS/ROS2, AI-driven perception, and multi-sensor fusion technologies.
The ideal candidate will have strong experience in robotic software development, autonomous navigation, SLAM, and ROS integration, with the ability to develop and integrate intelligent robotic systems in industrial environments. A Master's degree in Robotics or a related field is preferred.

Key Responsibilities

  • Design, develop, and deploy software for Autonomous Mobile Robot (AMR) platforms using ROS/ROS2.
  • Develop and enhance SLAM algorithms by implementing inertial odometry fusion techniques to improve localization accuracy, efficiency, and robustness in challenging industrial environments.
  • Design and implement multi-map fusion methods to integrate data from multiple sensor modalities into a unified mapping framework for enhanced localization, navigation, and path planning.
  • Develop and integrate AI-based perception and navigation algorithms for autonomous robotic systems.
  • Integrate robotic software with LiDAR, cameras, IMUs, wheel encoders, and other sensing technologies.
  • Develop benchmarking and system integration tools to evaluate internal robotic platforms and commercial off-the-shelf solutions, enabling data-driven system architecture and performance analysis.
  • Integrate ROS with industrial automation systems, including PLC-controlled and standalone robotic environments.
  • Develop, test, validate, and optimize robotic software for real-world industrial deployment.
  • Troubleshoot hardware, software, and communication issues across robotic systems.
  • Collaborate with cross-functional engineering teams to deliver scalable and reliable autonomous robotic solutions.

Required Qualifications

  • Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Strong experience developing software using ROS/ROS2.
  • Experience with Autonomous Mobile Robots (AMRs) or mobile robotic platforms.
  • Strong understanding of SLAM, localization, sensor fusion, mapping, and autonomous navigation.
  • Experience integrating AI/ML algorithms into robotic perception or navigation systems.
  • Experience integrating LiDAR, cameras, IMUs, and other robotic sensors.
  • Experience with industrial automation and PLC integration is a plus.
  • Proficiency in C++ and Python.
  • Strong debugging, testing, and system integration skills.

Preferred Qualifications

  • Experience with navigation frameworks such as Nav2 and localization packages including AMCL.
  • Experience with motion planning, path planning, obstacle avoidance, and autonomous navigation.
  • Experience with sensor fusion frameworks (Kalman Filter, Extended Kalman Filter, factor graph optimization, or similar).
  • Experience with Gazebo, Isaac Sim, or other robotics simulation environments.
  • Experience deploying robotics solutions in manufacturing, warehouse automation, or industrial environments.

Apply