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Natural Language Processing Intern Jobs in Raleigh, NC

LexisNexis

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. Solid ...

RELX

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. Solid ...

RELX Group plc

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. • ...

LexisNexis

Architect

Raleigh, NC · On-site

$118K - $219K/yr

Parallel and Distributed Processing Systems, Information Retrieval, Data Mining, Natural Language Processing, Very Large Scale Databases, Declarative Languages, and High-Performance Computing. • ...

Deloitte

AI Data Engineer - Manager

Raleigh, NC

$111K - $133K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Google

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

... natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. * Excellent understanding of ...

Google

Software Engineer III

Raleigh, NC · On-site

$56 - $75/hr

... natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive ...

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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 Jun 10, 2026, the average hourly pay for natural language processing intern in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 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.

Is ChatGPT an NLP?

ChatGPT is an AI language model developed using natural language processing (NLP) techniques, which enable it to understand and generate human-like text. As a tool often used in NLP applications, it demonstrates the practical use of NLP skills that a Natural Language Processing Intern might work with. Understanding NLP concepts is essential for roles involving language models like ChatGPT.

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 popular job titles related to Natural Language Processing Intern jobs in Raleigh, NC? For Natural Language Processing Intern jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Raleigh, NC look for? The top searched job categories for Natural Language Processing Intern jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Natural Language Processing Intern jobs? Cities near Raleigh, NC with the most Natural Language Processing Intern job openings:
Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in Raleigh, NC as of June 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $34,988 per year, or $16.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Durham, NC • Remote

Other

Posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply