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Internship Natural Language Processing Intern Jobs in Missouri

Design, develop, and implement cognitive search solutions using natural language processing and machine learning techniques. * Collaborate with cross-functional teams, including data engineers, data ...

New

Advanced background in Natural Language Processing, Machine Learning, Artificial Intelligence, or a closely related field. * Proven research experience in multilingual or cross-lingual language ...

AI Engineer

Kansas City, 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 ...

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 ...

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

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

Intern

Kansas City, MO

$14.75 - $19.50/hr

The Internship experience is designed to develop student athletes in discerning their calling and ... the language of sport. Responsibilities: * Build consistent presence at campuses and athletic ...

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

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Internship Natural Language Processing Intern information

What is the difference between Internship Natural Language Processing Intern vs Data Science Intern?

AspectInternship Natural Language Processing InternData Science Intern
Required CredentialsRelevant coursework in NLP, computer science, or linguistics; basic programming skillsBackground in statistics, mathematics, or computer science; programming skills
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization tasks in tech, finance, or consulting firms
Employer & Industry UsageCommon in AI startups, tech giants, and research institutionsWidely used across tech, finance, healthcare, and consulting industries

Both roles are internship positions requiring programming skills and relevant coursework. NLP Interns focus specifically on language processing tasks, while Data Science Interns work on broader data analysis and modeling projects. The choice depends on your interest in language technologies versus general data analysis.

What job categories do people searching Internship Natural Language Processing Intern jobs in Missouri look for? The top searched job categories for Internship Natural Language Processing Intern jobs in Missouri are:
What cities in Missouri are hiring for Internship Natural Language Processing Intern jobs? Cities in Missouri with the most Internship Natural Language Processing Intern job openings:
Infographic showing various Internship Natural Language Processing Intern job openings in Missouri as of July 2026, with employment types broken down into 40% Internship, 33% Full Time, 20% Part Time, and 7% Temporary. Highlights an 87% In-person, and 13% Hybrid job distribution.

Cognitive Search Engineer

Jobgether

On-site, Remote

Full-time

Posted 2 days ago

New


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cognitive Search Engineer based in Netherlands.

This role offers the opportunity to design and develop advanced search solutions powered by artificial intelligence, natural language processing, and machine learning.
You will contribute to creating intelligent search experiences that help users access information more efficiently and effectively.
Working in a fully remote international environment, you will collaborate with multidisciplinary teams to build scalable and innovative search applications.
The position combines technical expertise, analytical thinking, and problem-solving skills to improve search relevance, ranking, and user experience.
You will work with modern cloud technologies, data pipelines, and cognitive search platforms to deliver impactful solutions.
This is an excellent opportunity for an experienced engineer looking to contribute to long-term AI-driven projects in a global setting

Accountabilities
  • Design, develop, and implement cognitive search solutions using natural language processing and machine learning techniques.
  • Collaborate with cross-functional teams, including data engineers, data scientists, and software engineers, to create search applications and intelligent bots that improve user experiences.
  • Analyze search performance, identify improvement opportunities, and optimize relevance, ranking, and retrieval quality.
  • Understand complex data structures and relationships to integrate cognitive search solutions with existing systems, processes, and applications.
  • Build, enhance, and maintain data pipelines supporting search indexing, retrieval, and information discovery.
  • Apply best practices for cognitive search development, deployment, monitoring, and maintenance.
  • Monitor evolving trends and innovations in cognitive search, machine learning, and AI technologies to continuously improve solutions.
  • Contribute to the design and implementation of scalable, reliable, and efficient AI-powered search architectures.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 2+ years of experience developing and implementing cognitive search solutions or related AI-driven technologies.
  • Strong knowledge of natural language processing, machine learning concepts, semantic search, embeddings, and vector databases.
  • Experience working with search platforms, preferably Azure Cognitive Search or similar technologies.
  • Strong programming skills in Python and JavaScript, with the ability to develop and maintain technical solutions.
  • Experience with cloud computing platforms, preferably Microsoft Azure or equivalent environments.
  • Solid understanding of data processing, search indexing, and information retrieval techniques.
  • Excellent analytical and problem-solving abilities with a structured approach to technical challenges.
  • Ability to collaborate effectively with international and multidisciplinary teams.
  • Fluent English communication skills, both written and spoken.
  • Candidates must be based in Europe and have the right to work, as no work permit sponsorship is provided.
Benefits:
  • Fully remote working environment with flexibility to work from anywhere in Europe.
  • Opportunity to contribute to long-term AI and cognitive search projects with international impact.
  • Collaboration with skilled professionals across engineering, data, and technology disciplines.
  • Exposure to advanced technologies in machine learning, natural language processing, and cloud computing.
  • Opportunity to work on solutions that directly improve information access and user experiences.
  • Stable long-term engagement within an innovative and international environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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