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Natural Language Processing Intern Jobs in Atlanta, GA

Integration Architect

Atlanta, GA · On-site

$68 - $87.75/hr

... Natural Language Processing (NLP) techniques, including text generation, understanding, and summarization. • Experience with Reinforcement Learning (RL) algorithms and their application to agent ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • Familiarity with Docker and Kubernetes • Experience with ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • Familiarity with Docker and Kubernetes • Experience with ...

Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with MLOps tools and workflows • Familiarity with Docker and Kubernetes • Experience with ...

D. preferred • 3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications ...

Position Overview We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management ...

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

... and natural language processing. ● Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch). ● Design secure and compliant AI/ML ...

Position Overview We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

... 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 ...

... natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus. * Familiar ...

... 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 ...

Strong technical expertise in machine learning, deep learning, and natural language processing. * Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google ...

Showing results 21-40

Natural Language Processing Intern information

See Atlanta, GA salary details

$8

$16

$22

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

As of Sep 4, 2026, the average hourly pay for natural language processing intern in Atlanta, GA is $16.64, according to ZipRecruiter salary data. Most workers in this role earn between $13.85 and $18.51 per hour, depending on experience, location, and employer.

What is a natural language processing intern?

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 types of projects or tasks does a natural language processing intern 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 are the key skills and qualifications needed to thrive as a natural language processing intern, 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.

Is natural language processing in demand?

Natural Language Processing (NLP) is a rapidly growing field with increasing demand for professionals, including NLP interns, as businesses seek to improve automation, customer service, and data analysis. Skills in machine learning, Python, and NLP tools like spaCy or NLTK enhance employability in this expanding industry.

What are the most commonly searched types of Natural Language Processing jobs in Atlanta, GA?

The most popular types of Natural Language Processing jobs in Atlanta, GA are:

What are popular job titles related to Natural Language Processing Intern jobs in Atlanta, GA?

For Natural Language Processing Intern jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing Intern jobs in Atlanta, GA look for?

The top searched job categories for Natural Language Processing Intern jobs in Atlanta, GA are:

Infographic showing various Natural Language Processing Intern job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $34,614 per year, or $16.6 per hour.

LLM Engineer (GCP Preferred)

Krest Global Solutions

Atlanta, GA • Hybrid

$58 - $60/hr

Contractor

Re-posted 9 days ago


Job description

Job Title: LLM Engineer (GCP Preferred)

Work Time Zone: EST

Rate: $60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

 

We are seeking a highly skilled and motivated LLM Engineer to design, build, and deploy advanced large language model (LLM) solutions that enhance procurement workflows and drive business automation. The ideal candidate will have a strong background in natural language processing, deep learning, and AI agent design, with hands-on experience fine-tuning foundation models and deploying them on Google Cloud Platform (GCP).


Key Responsibilities:

  • AI Agent Development
    Design and implement LLM-powered AI agents that optimize and automate procurement-related tasks, ensuring reliability, explainability, and business alignment.
  • Model Fine-Tuning & Optimization
    Fine-tune foundation models for domain-specific tasks, focusing on accuracy, latency, and scalability. Apply techniques such as parameter-efficient fine-tuning, prompt tuning, and adapter training.
  • Pipeline Engineering
    Build and maintain robust, production-grade pipelines for data ingestion, model training, evaluation, and inference using GCP services and open-source tools.
  • Prompt Engineering & RAG Implementation
    Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs.
  • Stakeholder Collaboration
    Work closely with procurement experts, data engineers, and business leaders to gather requirements, align goals, and deliver impactful AI solutions.
  • Model Evaluation & Monitoring
    Establish evaluation metrics and monitoring tools to track model performance, accuracy, bias, and drift in real-world applications.
  • Integration & Deployment
    Collaborate with cross-functional teams to integrate LLMs into existing systems, leveraging LangChain, LangGraph, and GCP AI tools like Vertex AI for seamless deployment.

Must-Have Qualifications:

  • Master’s degree in mathematics, Physics, Computer Science,
  • 7 – 10 + years of experience in NLP, LLM development, or AI-driven automation.
  • Expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Proficiency with LangChain, LangGraph, Hugging Face Transformers, and LLM model hubs.
  • Experience fine-tuning large-scale models and optimizing for real-time inference.
  • Solid understanding of vector databases, knowledge graphs, and embedding techniques.
  • Strong communication skills with the ability to translate complex AI concepts to non-technical stakeholders.
  • Proven experience working with Google Cloud Platform (GCP), especially with services like Vertex AI, BigQuery, and Cloud Functions.
  • Familiarity with multi-agent systems and reinforcement learning is a strong plus.