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Natural Language Processing Jobs in Detroit, MI (NOW HIRING)

Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language)

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Natural Language Processing information

See Detroit, MI salary details

$14

$25

$47

How much do natural language processing jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for natural language processing in Detroit, MI is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $29.28 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are popular job titles related to Natural Language Processing jobs in Detroit, MI? For Natural Language Processing jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Detroit, MI look for? The top searched job categories for Natural Language Processing jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Natural Language Processing jobs? Cities near Detroit, MI with the most Natural Language Processing job openings:
Infographic showing various Natural Language Processing job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $52,455 per year, or $25.2 per hour.
Senior AI Developer with GCP (Locals Only)

Senior AI Developer with GCP (Locals Only)

Megan soft Inc

Dearborn, MI • On-site

Other

Posted 16 days ago


Job description

Role: Senior AI Developer with GCP (W2 Position)

Location: Dearborn, MI (Hybrid) Locals Only

Duration: 12+ Months

Experience: 7+ Years

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

 Key Responsibilities:

  • Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:

Artificial Intelligence & Expert Systems

Skills Preferred:

Python, GCP, GCP Cloud Run

Experience Required:

Senior Associate Exp: 3 to 5 years’ experience in relevant field

Experience Preferred:

Experience in the design, build, and implementation of AI-powered applications and systems. Experience in the integration of AI models into existing software and automating processes. Knowledge of Python and GCP a plus.

Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335