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Natural Language Processing Jobs in St Louis, MO

Pwc

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

duvari group

AI Engineer

Chesterfield, MO · On-site

Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions. * Familiarity with cloud-based environments and modern data platforms.

duvari group

AI Engineer

Chesterfield, MO · On-site

Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions. * Familiarity with cloud-based environments and modern data platforms.

duvari group

AI Engineer

Chesterfield, MO · On-site

Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions. * Familiarity with cloud-based environments and modern data platforms.

Koantek

Senior AI Engineer

Chesterfield, MO · On-site

$54.75 - $70.50/hr

The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models ...

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Natural Language Processing information

See St Louis, MO salary details

$13

$24

$46

How much do natural language processing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for natural language processing in St. Louis, MO is $24.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $28.75 per hour, depending on experience, location, and employer.

What is a natural language processing?

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.

What are the key skills and qualifications needed to thrive in natural language processing, 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?

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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 linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are popular job titles related to Natural Language Processing jobs in St. Louis, MO?

For Natural Language Processing jobs in St. Louis, MO, the most frequently searched job titles are:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $51,515 per year, or $24.8 per hour.

Oracle Digital Assistant SME

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 25 days ago

Job description

Overview:
Job Opportunity:Oracle Digital Assistant SME
Contract Duration: 1+ months (Short Contract)
Location: Remote
We are seeking a seasoned Oracle Digital Assistant SME to support a high-impact government engagement focused on conversational AI and cloud integration. This short-term contract role requires deep expertise in Oracle Cloud technologies and hands-on experience in chatbot development and intelligent automation.
key Responsibilities & Skills
  • Minimum 5 years of experience with Oracle Cloud, including Oracle Digital Assistant
  • Strong foundation in Natural Language Processing (NLP), AI/ML concepts, and chatbot architecture
  • Proficient in JavaScript, Node.js, and RESTful API development and integration
  • Hands-on experience with Oracle Integration Cloud (OIC) and Oracle SaaS applications
  • Familiarity with conversational AI platforms and enterprise-grade digital assistant deployments

Skills:
oracle,NLP,DIGITAL ASSISTANT,Artificial Intelligence,OIC,JAVASCRIPT

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