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Natural Language Processing Intern Jobs in Madison, AL

Lead the development of AI solutions using machine learning, deep learning, natural language processing, and computer vision * Develop and maintain AI systems, including data pipelines, model ...

Data Architect

Huntsville, AL · On-site

$160K - $210K/yr

Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and predictive modeling. * Must be familiar with MBSE and incorporating AI into legacy systems to streamline ...

Data Architect

Huntsville, AL · On-site

$160K - $210K/yr

Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and predictive modeling. * Must be familiar with MBSE and incorporating AI into legacy systems to streamline ...

Experience with machine learning, artificial intelligence, or natural language processing applications in public health. The annual salary range for this position is $53,000.00-$88,000.00.

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Natural Language Processing Intern information

See Madison, AL salary details

$8

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

As of Aug 14, 2026, the average hourly pay for natural language processing intern in Madison, AL is $15.50, according to ZipRecruiter salary data. Most workers in this role earn between $12.93 and $17.21 per hour, depending on experience, location, and employer.

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 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 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.

What cities near Madison, AL are hiring for Natural Language Processing Intern jobs?

Cities near Madison, AL with the most Natural Language Processing Intern job openings:

Infographic showing various Natural Language Processing Intern job openings in Madison, AL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,250 per year, or $15.5 per hour.

SENIOR DATA SCIENTIST with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Senior Data Scientist – TS Cleared Note: This role would require relocation if not local to Huntsville, Alabama Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours) Clearance: Active Top Secret Required Employment Type: W2 Consultant (Kforce) Benefits: Medical, Dental, Vision, 401(k), and more Contact Recruiter Directly: Brenton Anderson 📧 🔗 https://www.linkedin.com/in/myitrecruiterbrenton/ Overview We are seeking a Senior Data Scientist to support a mission-critical federal program focused on advanced analytics, artificial intelligence, machine learning, and operational intelligence supporting national security initiatives. This is a highly visible role responsible for developing and deploying advanced analytical models that transform large, complex datasets into actionable intelligence. The ideal candidate will possess deep expertise in Machine Learning (ML), Natural Language Processing (NLP), statistical modeling, and cloud-based data science solutions, with the ability to deliver mission-impacting insights in secure environments. You will work alongside elite engineering, data, and mission teams to design and implement AI/ML capabilities that support decision advantage, operational effectiveness, and enterprise-scale analytics initiatives. Key Responsibilities
Design, develop, and deploy advanced machine learning models supporting mission-critical objectives
Develop Natural Language Processing (NLP) solutions for extracting insights from structured and unstructured data
Build predictive and prescriptive analytics solutions using large, complex datasets
Research, evaluate, and implement AI/ML algorithms to solve complex operational challenges
Develop and optimize data science workflows using Python, Java, or Scala
Leverage AWS cloud services to support scalable machine learning and analytics environments
Collaborate with Data Engineers, Software Engineers, and mission stakeholders to operationalize AI solutions
Support MLOps and CI/CD processes utilizing Git and GitLab environments
Create visualizations, reports, and presentations that communicate analytical findings to technical and non-technical stakeholders
Ensure models meet performance, reliability, explainability, and security requirements within a cleared environment
Stay current on emerging technologies and industry best practices in AI, machine learning, and data science Required Qualifications
Active Top Secret clearance Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related field
Extensive experience developing and deploying Machine Learning models in production environments
Strong experience with Natural Language Processing (NLP), text analytics, and language modeling techniques
Strong programming experience with Python, Java, or Scala
Experience working with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Spark ML, or similar technologies
Experience utilizing AWS cloud services for analytics, data science, or machine learning workloads
Experience working with Git or GitLab in CI/CD environments
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience working with large, complex datasets in secure or regulated environments
Ability to operate independently at a Senior or SME level and drive solutions from concept through deployment Preferred Qualifications
Master's Degree or PhD in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or related field Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or AI governance frameworks
Experience with distributed data processing platforms and cloud-native architectures
Familiarity with MLOps pipelines and model deployment frameworks
Prior experience supporting federal, defense, intelligence, or national security programs Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure facility requiring strict adherence to security protocols
Fast-paced, mission-focused environment supporting real-world operational needs
Direct collaboration with highly skilled technical teams Why Join Kforce? As a W2 consultant with Kforce, you'll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs
Impact This role provides the opportunity to develop cutting-edge AI and machine learning solutions that directly support national security initiatives, advanced operational analytics, and mission-critical decision-making in a highly secure environment. Your expertise will help transform complex data into actionable intelligence that drives operational success and strategic advantage. Apply Today Join a team where your expertise in Machine Learning, Natural Language Processing, Artificial Intelligence, and Advanced Analytics directly contributes to mission success. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. Brenton Anderson Technical Recruiter Kforce Government Solutions