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Natural Language Processing Intern Jobs in Georgia

... natural language processing and text analytics for innovative AI applications - Building and maintaining data infrastructure to support AI-driven automation - Mentoring junior team members and ...

AI/ML engineer

Atlanta, GA

$110K - $132K/yr

Natural Language Processing (NLP) * Computer Vision * Generative AI concepts * Experience with MLOps tools and workflows * Familiarity with Docker and Kubernetes * Experience with cloud platforms:

Strong expertise in machine learning, deep learning, and natural language processing. Preferred Skills: * AWS Certified Solutions Architect (preferred -- please attach certification). * Experience ...

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 ...

Demonstrated experience and proficiency with data science techniques including (but not limited to) logistic regression, vector, natural language processing, principal component analysis, clustering ...

Experience with natural language processing (NLP) and computer vision. * Familiarity with DevOps practices and CI/CD pipelines for AI/ML. * Knowledge of big data technologies (e.g., Hadoop, Spark)

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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 11, 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:
What are popular job titles related to Natural Language Processing Intern jobs in Georgia? For Natural Language Processing Intern jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Georgia look for? The top searched job categories for Natural Language Processing Intern jobs in Georgia are:
What cities in Georgia are hiring for Natural Language Processing Intern jobs? Cities in Georgia with the most Natural Language Processing Intern job openings:
Infographic showing various Natural Language Processing Intern job openings in Georgia as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $30,393 per year, or $14.6 per hour.
Postdoctoral Fellow-- Remote Language Language Biomarker Lab

Postdoctoral Fellow-- Remote Language Language Biomarker Lab

Emory University

Atlanta, GA • On-site

$47K - $64K/yr

Full-time

Posted 11 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

160th of 870 rated healthcare providers


Job description

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

Description

Position Summary:

This postdoctoral position supports the design and execution of research investigating language indicators of psychosis across phylogenetically diverse languages. This work is part of the Accelerating Medicines Partnership in Schizophrenia (AMP SCZ)-the largest schizophrenia research initiative funded by the National Institute of Mental Health (NIMH), the Foundation for the National Institutes of Health (fNIH), and numerous industry partners.

The AMP SCZ project involves collaboration across 42 international sites and includes a clinical trial conducted at 15 U.S. locations. At the Emory University site-Language Biomarker Lab-research focuses on aligning spoken language with facial expressions and vocal characteristics to enable multimodal analysis. This alignment supports the integration of clinical interview data (including open-ended interviews and audio diaries) with other biomarkers such as MRI, EEG, and genetic data, with the aim of enhancing early detection of psychosis and evaluating the efficacy of two candidate medications.

The postdoctoral researcher will develop and maintain computational pipelines for detecting atypical patterns of communication in clinical populations, with a particular focus on individuals at clinical high risk for psychosis. Features of interest span multiple levels of analysis, including acoustic characteristics, semantic structure, discourse organization, topic maintenance, and facial movement dynamics. The lab has access to a dedicated GPU cluster, including A100, H100, and H200 GPUs, to support large-scale model development, training, and fine-tuning of large language models. The postdoctoral researcher will work closely with the Principal Investigator to analyze data, prepare scientific manuscripts, and publish findings. Depending on project needs, the postdoc may also help manage specialized equipment and maintain the lab's audio/video data-processing pipelines.

Appointment Details:

This is a one-year position with the possibility of renewal for up to three years.

Minimum Qualifications:

  • A doctoral degree in a relevant field
  • Excellent scientific writing and oral communication skills
  • Ability to work effectively with colleagues both at Emory and collaborating institutions

Preferred Qualifications:

  • Ph.D. in Psychology, Computer Science, Biomedical Engineering, Biomedical Informatics, or Linguistics
  • Experience with natural language processing (NLP) and generative language models

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.Employment Type: FULL_TIME

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