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Natural Language Processing Intern Jobs in Georgia

Lorven Technologies

Tech Lead (AI)

Alpharetta, GA · On-site

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 business. This role ...

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Natural Language Processing Intern information

See Georgia salary details

$7

$14

$20

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

As of Jul 19, 2026, the average hourly pay for natural language processing intern in Georgia is $14.61, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $16.25 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 Georgia? The most popular types of Natural Language Processing jobs in Georgia are:
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What cities in Georgia are hiring for Natural Language Processing Intern jobs? Cities in Georgia 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 Georgia as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 55% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $30,393 per year, or $14.6 per hour.
QA with Generative AI

QA with Generative AI

Precision Technologies Corp

Alpharetta, GA • On-site

Contractor

Re-posted 23 days ago

Job description

Job Description:

The Quality Engineer for Generative AI will be responsible for ensuring the quality and reliability of the AI systems developed under the EDD GENAI project. This role involves close collaboration with the development team and key stakeholders to understand project requirements and develop comprehensive test plans. The Quality Engineer will conduct various types of testing, including unit testing, component testing, and multi-component testing, while also automating these tests to improve efficiency and reliability.

Key Responsibilities:

•Collaborate as part of a DBA fleet, focusing on QE processes with a strong emphasis on automation execution using various tools and techniques.

•Develop test strategies and plans for Generative AI implementations.

•Design and execute test cases to validate the functionality, performance, and reliability of Generative AI solutions.

•Work with stakeholders to identify testing requirements and priorities.

•Identify and document defects, issues, and risks related to Generative AI implementations.

•Collaborate closely with developers and program managers to prioritize and resolve issues promptly.

•Develop and maintain automated test scripts and frameworks for efficient and effective testing.

•Drive continuous improvement and best practices in testing methodologies and processes for Generative AI implementations.

•Stay updated on new testing approaches, tools, and strategies.

Required Skills:

•8+ years of proven work experience in Quality Engineering.

•Experience integrating LLM automation tests into CI/CD pipelines and hands-on experience in prompt engineering concepts.

•Proven experience in developing and implementing automation frameworks for Large Language Models.

•Strong programming skills in languages such as Python, Java, or similar.

•Experience with popular testing tools and frameworks (e.g., Selenium, JUnit, TestNG).

•Knowledge of Natural Language Processing (NLP) concepts and techniques.

•Familiarity with CI/CD pipelines and version control systems (e.g., Jenkins, Git).

•Strong problem-solving and analytical skills.

•Experience with automation technologies, including Selenium, JUnit, Gherkin, JMeter, and scripting languages such as Java.

Educational Qualification:

•Minimum BS degree in Computer Science, Engineering, or a related field.

Join our team and contribute to the development of cutting-edge AI solutions