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Language Engineer Jobs in Michigan (NOW HIRING)

Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++. * 7+ years of relevant experience in this field * Experience developing software tools ...

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102K - $140K/yr

Exposure to Natural Language Processing (NLP) problems and familiarity with key tasks such as Named ... Hands-on experience in other programming language/scripting language and development stack (Java ...

The Speech Language Pathologist will perform the full range of assignments for patients including ... Develop appropriate home programs for patients or assist coordination of care in programming ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks ...

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Data Engineer

Muskegon, MI · On-site

$103K - $124K/yr

We are helping a client company identify a Data Engineer to hire. Looking for someone who can work ... language +Visa sponsorship is not available for this position #IND1

New

The Mechanical Engineer will design and test all aspects of mechanical equipment and machinery ... German Language skills would be a plus. * Visa holders/English as Second Language (ESL) individuals ...

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks ... Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ...

Showing results 21-40

Language Engineer information

See Michigan salary details

$34K

$88.7K

$119.8K

How much do language engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for language engineer in Michigan is $88,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $101,500.00 per year, depending on experience, location, and employer.

What is a language engineer?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What are the typical daily responsibilities of a language engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

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

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

What are the most commonly searched types of Language Engineer jobs in Michigan?

The most popular types of Language Engineer jobs in Michigan are:

Infographic showing various Language Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $88,687 per year, or $42.6 per hour.

AI & Automation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 19 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers


Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key Responsibilities
  • Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities
  • Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review
  • Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms
  • Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments
  • Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools
  • Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI
  • Ensure scalable, maintainable, and well-documented code following software development best practices

Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.
  • Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.
  • 7+ years of relevant experience in this field
  • Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
  • Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
  • Ability to analyze engineering processes and translate them into structured automation solutions.
  • Strong problem-solving, communication, and collaboration skills.
  • Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.

Preferred Qualifications:
  • Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.
  • Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
  • Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
  • Familiarity with SQL, relational databases, data modeling, or database-driven application development.
  • Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
  • Experience working with global teams and supporting adoption of new tools, methods, or automation practices.

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