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Natural Language Processing Intern Jobs in Madison, AL

Data Scientist

Huntsville, AL · On-site +1

$112K - $257K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's degree Nice If You Have: * Experience with Maven Smart Systems and the ...

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's degree Nice If You Have: * Experience with Maven Smart Systems and the ...

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's degree Nice If You Have: * Experience with Maven Smart Systems and the ...

Data Scientist

Huntsville, AL · On-site

$113 - $257/hr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's degree Nice If You Have * Experience with Maven Smart Systems and the Palantir ...

Data Scientist

Huntsville, AL · On-site

$112K - $257K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI clearance * Bachelor's degree Nice If You Have: * Experience with Maven Smart Systems and the ...

Showing results 41-60

Natural Language Processing Intern information

See Madison, AL salary details

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$15

$21

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

As of Sep 6, 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 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 popular job titles related to Natural Language Processing Intern jobs in Madison, AL?

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

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, 67% Full Time, 24% Part Time, 3% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $32,250 per year, or $15.5 per hour.

30 OPENINGS | SOFTWARE/CLOUD/DATA | FBI PROGRAM | RELOCATION with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

$59.50 - $77.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Note: This role would require relocating if not local to Huntsville, Alabama (#1 Place to Live) ***One Round Interview / faster offers! *** Start 3-4 weeks*** 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
Relocation Package: Yes Apply Today! or
Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ ➡️Cloud Developer – 6+ YOE
Skills: CloudFormation, Terraform, AWS, Model Deployment, Lambda, CI/CD, GitLab, Kubernetes, Docker ➡️Cloud Developer – 8+ YOE
Skills: AWS, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS ➡️Cloud Developer – 10+ YOE
Skills: Advanced AWS Infrastructure, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Recycle Bin, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS; Nice: Prior Sys Admin Experience ➡️Data Analyst – 10+ YOE
Skills: Python, SQL, Exploratory Data Analysis, GitLab, Data Documentation, Power BI, Requirements Gathering
Data Engineer – 8+ YOE
Skills: ETL, Informatica, Linux ➡️Data Engineer– 8+ YOE
Skills: NiFi, Java, AWS, ETL, Spark, Scala, SQL, PL/SQL, Linux, Data Pipelines; Nice: Agile, Maven, GitLab
Data Scientist / Data Engineer – 8+ YOE
Skills: Python, Java or Scala, AWS, Natural Language Processing (NLP), Machine Learning, Statistical Analysis & Model Evaluation, Git, GitLab CI/CD ➡️Developer– 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️DevOps Engineer – 6+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️DevOps Engineer – 8+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️Solutions Architect – 8+ YOE
Skills: ElasticSearch/OpenSearch, Cluster Deployment & Configuration, Backup & Recovery, Cluster Monitoring, Indexing, AWS, Application Load Balancers (ALB); Nice: Java ➡️Software Developer – 6+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, REST APIs, Microservices, GitLab CI/CD ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️Software Engineer – 10+ YOE
Skills: Java, Microservices, Spring Boot, Docker, Python, Terraform, GitLab; Nice: Terragrunt, Agile, Maven 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.