ZipRecruiter

Log In

1

Ai Localization Jobs in Michigan (NOW HIRING)

Magna

Computer Vision/ AI Intern- R&D Summer 2026

Troy, MI · On-site

$14.25 - $19/hr

... localization and 3D scene understanding/reconstruction. ESSENTIAL DUTIES AND RESPONSIBILITIES ... AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient ...

Stefanini

Machine Learning Engineer

Dearborn, MI

... localization, natural language processing, and conversational AI. They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in experimental methodologies, statistics ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/yr

... localization, natural language processing, and conversational AI. * They automate and optimize the end-to-end ML and Gen AI model lifecycle using expertise in experimental methodologies, statistics ...

Kiongroup

Senior Technical Writer

Grand Rapids, MI

$87K - $127.60K/yr

... AI-based applications. Working closely with engineer and product teams, the position delivers ... Exposure to global content needs, including translation or localization workflows * Bachelor ...

Kiongroup

Senior Technical Writer

Grand Rapids, MI

$87K - $127.60K/yr

... AI-based applications. Working closely with engineer and product teams, the position delivers ... Exposure to global content needs, including translation or localization workflows * Bachelor ...

next page

Showing results 1-20

People also search for

All JobsAi Localization JobsAi Localization Jobs in Michigan

Ai Localization information

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.

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 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:
Ai Localization jobs near you

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98.10K - $134.80K/yr

Contractor

Posted 21 days ago

Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
Key Responsibilities:
· Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
· Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
· Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
· Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
· Develop offline tools to test and validate perception models in both simulation and real-world environments.
· Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
· Generate intellectual property, document results, and publish papers.
 
Required Qualifications:
· Passion for robotics and a strong desire to accelerate the application of robotics with AI.
· Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
· 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
· Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
· Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
· Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
 
Preferred Qualifications:
· Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
· Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
· Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
· Understanding of CI/CD pipelines and modern software development practices.