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Internship Natural Language Processing Intern Jobs in Clover, SC

Great Clips

Hair Stylist Intern

Fort Mill, SC · On-site

Is this a paid internship? A: Compensation, if offered, varies by salon organization. Details will be shared during the interview process. * Q: Will I be cutting hair as an intern? A: Intern ...

Great Clips

Hair Stylist Intern

Indian Land, SC · On-site

Is this a paid internship? A: Compensation, if offered, varies by salon organization. Details will be shared during the interview process. * Q: Will I be cutting hair as an intern? A: Intern ...

ProSidian Consulting

Market Development Intern

Charlotte, NC · On-site

$14.50 - $19.50/hr

... Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | and Human ... Interns assist in developing pitch decks and marketing materials that articulate ProSidian ...

Forhyre

AI Cloud Solutions Director

Charlotte, NC

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

Gilbane

Office Intern - Nationwide 2027

Charlotte, NC · On-site

$17 - $32/hr

This posting is for candidates interested in in-person office internships, locations available ... Given the competitive nature of the selection process, only candidates who are selected to advance ...

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All JobsNatural Language Processing Intern JobsInternship Natural Language Processing Intern JobsInternship Natural Language Processing Intern Jobs in Clover, SC

Internship Natural Language Processing Intern information

See Clover, SC salary details

$7

$14

$20

How much do internship natural language processing intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship natural language processing intern in Clover, SC is $14.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.36 and $16.49 per hour, depending on experience, location, and employer.

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.

Internship Natural Language Processing Intern jobs near you

Sr .Net Full Stack/AI Engineer

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Posted 29 days ago

Job description

Sr .Net Full Stack/AI Engineer 
Charlotte, NC (Need Onsite day 1, hybrid 3 days from office)
Position type: W2 contract only

 
Job Description:
We are seeking a highly skilled .NET Developer with strong experience in Angular and Artificial Intelligence (AI) to join our development team. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications using .NET technologies and Angular, while also integrating AI-driven features and intelligent automation solutions into business applications. This role requires a combination of backend, frontend, and AI knowledge to deliver modern, high-performance software solutions.
The Role
Responsibilities:
  • Design, develop, test, and maintain web applications using .NET / .NET Core / ASP.NET MVC / Web API
  • Build responsive and interactive user interfaces using Angular
  • Develop and consume RESTful APIs and integrate third-party services
  • Collaborate with cross-functional teams including UI/UX designers, product managers, and QA engineers
  • Integrate AI/ML models, APIs, or intelligent services into enterprise applications
  • Work on features such as chatbots, recommendation systems, predictive analytics, NLP integrations, or automation tools
  • Optimize applications for maximum speed, scalability, and security
  • Write clean, reusable, and efficient code following best practices
  • Troubleshoot, debug, and upgrade existing systems
  • Participate in code reviews, architecture discussions, and technical documentation
  • Ensure software quality through unit testing, integration testing, and performance tuning
  • Stay updated with emerging technologies in Microsoft stack, Angular ecosystem, and AI tools/frameworks
Requirements:
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field
  • Proven experience as a .NET Developer or Full Stack Developer
  • Strong hands-on experience with:
    • C#
    • .NET / .NET Core / ASP.NET
    • Angular
    • HTML5, CSS3, JavaScript, TypeScript
    • SQL Server or other relational databases
  • Experience in developing and integrating Web APIs
  • Knowledge of Entity Framework, LINQ, and ORM tools
  • Familiarity with Git, Azure DevOps, or other version control / CI-CD tools
  • Understanding of software development lifecycle and agile methodologies
  • Experience working with Artificial Intelligence / Machine Learning solutions
  • Knowledge of AI-related tools, frameworks, or services such as:
    • Azure AI Services
    • OpenAI APIs
    • ML.NET
    • Python for AI integration (preferred but not mandatory)
    • Natural Language Processing (NLP) or chatbot frameworks
  • Experience deploying applications on Azure or other cloud platforms
  • Familiarity with microservices architecture and containerization tools like Docker
  • Understanding of authentication/authorization mechanisms such as JWT, OAuth
  • Exposure to modern DevOps practices