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Localization Jobs in Michigan (NOW HIRING)

BAS Healthcare

Radiology

Detroit, MI · On-site

$316.80K - $396K/yr

... localization, stereotactic biopsies, breast ultrasound biopsies, breast MRI biopsies, and fine needle localization - all required • Breast MRI interpretation and procedures - required • General ...

BAS Healthcare

Radiology

Detroit, MI · On-site

$292.80K - $366K/yr

... localization, stereotactic biopsies, breast ultrasound biopsies, breast MRI biopsies, and fine needle localization - all required • Breast MRI interpretation and procedures - required • General ...

Welocalize

Generative AI Prompt Architect

Lansing, MI · On-site

A leading localization company in the United States is seeking a Generative AI Analyst to creatively develop prompts and responses for cutting-edge machine learning tools. The ideal candidate should ...

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$19

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$66

How much do localization jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for localization in Michigan is $40.30, according to ZipRecruiter salary data. Most workers in this role earn between $35.00 and $44.23 per hour, depending on experience, location, and employer.

What Are Localization Jobs?

Localization jobs include translation work, anthropological study, graphic design, product and user experience testing, market research, and sales. Although translation and localization are different, translation is a key component of localization efforts, and translators are essential to the process. Cultural and sociological research is also important because product developers need to have a strong understanding of the local audience. Graphic designers play an essential role because they need to localize graphics so that they will be intelligible to distinct audiences. For example, a roadmap designed for Koreans may appear different than the same roadmap for Japanese readers.

What are the key skills and qualifications needed to thrive in Localization, and why are they important?

To thrive in Localization, you need strong linguistic proficiency in at least two languages, cultural fluency, and a background in translation or localization studies. Familiarity with computer-assisted translation (CAT) tools, localization management systems, and industry-standard file formats is typically required. Attention to detail, cross-cultural communication, and adaptability are crucial soft skills for ensuring content resonates with target audiences. These abilities are essential for delivering accurate, culturally appropriate translations that maintain the integrity and effectiveness of the original content across different markets.

What types of collaboration are common for localization professionals within a company?

Localization professionals frequently work closely with product managers, developers, designers, and marketing teams to ensure that content is accurately adapted for different regions. This collaborative approach helps address linguistic, cultural, and technical challenges early in the development process, ensuring a seamless user experience across markets. Effective communication and project management are key, as localization specialists often coordinate with both in-house and external translation vendors to meet tight deadlines and maintain consistency.

What is localization in the context of jobs?

Localization refers to the process of adapting content, products, or services to meet the language, cultural, and regulatory requirements of a specific target market or region. Professionals in localization work on translating text, modifying images, adjusting formats, and ensuring that everything resonates with the local audience. This process goes beyond simple translation, involving cultural adaptation and sometimes technical modifications to ensure the content is fully accessible and relevant to the intended users.

What is the difference between Localization vs Translation?

AspectLocalizationTranslation
DefinitionAdapting content to a specific locale, including cultural, linguistic, and functional adjustments.Converting text from one language to another without altering content for cultural context.
Skills & CertificationsLanguage proficiency, cultural knowledge, localization tools (e.g., CAT tools), sometimes certifications in localization.Language proficiency, translation certifications, familiarity with translation software.
Work EnvironmentMultilingual teams, localization projects for software, websites, products.Translation agencies, freelance, document translation for various industries.
Industry UsageCommon in software, gaming, marketing, and product localization.Used across legal, medical, technical, and general document translation.

Localization involves adapting content for a specific locale, considering cultural nuances, while translation focuses solely on converting text from one language to another. Both roles require language skills, but localization demands additional cultural and technical knowledge to ensure content resonates with the target audience.

More about Localization jobs
What are the most commonly searched types of Localization jobs in Michigan? The most popular types of Localization jobs in Michigan are:
What are popular job titles related to Localization jobs in Michigan? For Localization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Localization jobs in Michigan look for? The top searched job categories for Localization jobs in Michigan are:
Localization jobs near you
Localization Algorithm Engineer

Localization Algorithm Engineer

OtterBase

Detroit, MI

Other

Posted 5 days ago

Job description

Job Description Description: This role focuses on developing and optimizing localization algorithms using probabilistic methods and multi-sensor fusion to improve positioning accuracy. You will prototype, simulate, and refine solutions into production-ready code while collaborating across software, hardware, and systems teams in a fast-paced R&D environment. Responsibilities/skills: Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.

Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to enhance position accuracy. Design simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments). Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software

Conduct thorough performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations. Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system. Stay current with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

Rapidly prototype novel concepts, iterating on algorithm design to reach production-level stability and robustness. Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems. Contribute to code reviews, knowledge sharing, and team brainstorming sessions to maintain a high level of technical excellence.

Qualifications: Solid background in state estimation, probability theory, and advanced filtering techniques (particle filters, Kalman filters, etc.). Proficiency in at least one programming language (Python, C#, C++, MATLAB) used for developing and evaluating algorithms in a PC-based environment. Solid understanding of DSP algorithms and IQ radio processing

Experience translating theoretical models into efficient, production-ready code, with an emphasis on real-time or near-real-time performance. Familiarity with sensor data processing (IMU, etc.) and a keen interest in multi-sensor fusion methods. Adept at using data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches

Passionate about exploring new ideas, adapting cutting-edge research, and creatively applying them to solve challenging localization problems. Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs. Thrives on tackling open-ended challenges, taking ownership of tasks, and seeking continuous learning opportunities.

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