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Natural Language Processing Intern Jobs in Tennessee

Digital Product Design Senior Manager

Nashville, TN ยท On-site +1

$122K - $161K/yr

Minimum of 4 years of experience in AI-focused strategy or human-centered AI experience design, including hands-on application of generative AI, natural language processing, and large language models ...

Digital Product Design Senior Manager

Morristown, TN ยท On-site +1

$110K - $145K/yr

Minimum of 4 years of experience in AI-focused strategy or human-centered AI experience design, including hands-on application of generative AI, natural language processing, and large language models ...

... natural language processing, or generative artificial intelligence solutions. * 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes. * 1+ years of ...

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Natural Language Processing Intern information

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

As of Jul 16, 2026, the average hourly pay for natural language processing intern in Tennessee is $15.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $17.45 per hour, depending on experience, location, and employer.

What types of projects or tasks do Natural Language Processing Interns typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What is a Natural Language Processing Intern job?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

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

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

What are the most commonly searched types of Natural Language Processing jobs in Tennessee? The most popular types of Natural Language Processing jobs in Tennessee are:
What are popular job titles related to Natural Language Processing Intern jobs in Tennessee? For Natural Language Processing Intern jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Tennessee look for? The top searched job categories for Natural Language Processing Intern jobs in Tennessee are:
What cities in Tennessee are hiring for Natural Language Processing Intern jobs? Cities in Tennessee with the most Natural Language Processing Intern job openings:

Lead IT Specialist (Systems Analysis/Application Software)

Criminal Investigation & Law Enforcement | IRS Careers

Franklin, TN โ€ข On-site, Remote

$125K/yr

Other

Posted 14 days ago


Job description

WHAT IS INFORMATION TECHNOLOGY?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • IT - Taxpayer Services and Online Accounts
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
MINIMUM REQUIREMENTS: You must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.
GS-14 SPECIALIZED EXPERIENCE: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes:

  • Leading or coordinating IT projects, application-related efforts, operational initiatives, or system-related activities that affect multiple users, teams, programs, or business processes.
  • Applying advanced IT principles, concepts, methods, and practices to evaluate requirements; resolve technical issues; guide system, application, or code testing and configuration decisions; and ensure technical documentation and federal cybersecurity, privacy, or regulatory requirements are addressed.
  • Engaging customers, stakeholders, users, product or business owners, and technical teams to define business or technical requirements, communicate technical impacts, and guide delivery of secure, reliable, scalable IT solutions.
  • Evaluating system, service, or application performance, availability, reliability, security controls, usability, and operational effectiveness; identifying risks, issues, defects, or gaps; and leading corrective actions or improvement efforts.
  • Analyzing competing technical approaches and providing authoritative recommendations to management, stakeholders, or IT specialists on the selection, design, configuration, implementation, or improvement of IT solutions with organizational impact.
  • Planning and coordinating an agency-wide implementation of process improvement methods and concepts to improve the quality of software products; serving as the principal advocate within the agency/organization for the application of process improvement concepts and practices; and consulting with senior specialists and IT managers throughout the agency in the implementation of process improvement practices.
  • Leading teams that design and develop agency-wide applications which included review and approval of technical requirements for projects, developing project plans; providing guidance to team members and serving as primary liaison between customers and vendors and IT management throughout the development process.
  • Designing, developing, integrating, testing, and supporting conversational interfaces, virtual assistants, voice automation, or interactive voice response (IVR) solutions in a production environment.
  • Developing natural language processing (NLP), speech recognition, intent-based routing, conversational workflow, or automated self-service solutions for customer interactions.
  • Integrating voice or conversational platforms with enterprise applications, APIs, backend systems, authentication services, or customer data platforms.
  • Demonstrating subject matter expert (SME)-level proficiency in programming language such as Java or Python, including development of backend services, automation, integrations, or conversational application logic.
  • Troubleshooting and resolving complex system integration, application reliability, authentication, speech processing, or performance issues across interconnected platforms.
  • Applying DevSecOps, CI/CD pipelines, automated testing, version control, and agile software development practices in enterprise environments.
AND
You must also meet the following requirement(s):
  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER