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Nlp Jobs in Alabama (NOW HIRING)

Forhyre

$45.25 - $59.75/hr

Design, develop, and maintain automation frameworks and test scripts using Selenium, UFT / QTP, Botium Testing tool, C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing ...

forhyre.com

Test Automation - Manager

Montevallo, AL · On-site

$45.25 - $59.75/hr

... ML/NLP Testing, PTF, RPA Testing, SAP Worksoft, Service Now, Talos, Test complete, Tosca, UFT, Voice bot/IVR Testing, Automation Testing - UFT / QTP, Botium Testing tool, Chatbot Testing ...

Vultus Inc

NLP * Deep Learning * Azure / AWS / GCP * Spark * Jupyter Notebook * Git * MLOps Educational Qualification * Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics ...

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

NLP (Natural Language Processing) * Generative AI * Large Language Models (LLMs) * RAG (Retrieval-Augmented Generation) * MLOps * Docker * Kubernetes * Airflow * Snowflake * Databricks * CI/CD ...

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All JobsNlp JobsNlp Jobs in Alabama

Nlp information

See Alabama salary details

$34K

$111.2K

$178.1K

How much do nlp jobs pay per year?

As of Aug 29, 2026, the average yearly pay for nlp in Alabama is $111,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $123,300.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

Is natural language processing a good career?

Natural language processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Alabama?

The most popular types of Nlp jobs in Alabama are:

What are popular job titles related to Nlp jobs in Alabama?

For Nlp jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Nlp jobs in Alabama look for?

The top searched job categories for Nlp jobs in Alabama are:

What cities in Alabama are hiring for Nlp jobs?

Cities in Alabama with the most Nlp job openings:

Nlp jobs near you
Infographic showing various Nlp job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $111,249 per year, or $53.5 per hour.

Applied AI Engineer -- LLM/NLP for Training Systems

Ingenix Technologies LLC

Huntsville, AL • On-site

$120 - $170/hr

Other

Posted 11 days ago

Job description

Applied AI Engineer — LLM/NLP for Training Systems

Huntsville, AL (Hybrid) Full-Time Ability to obtain a Secret clearance required

Develop AI-enabled tools that transform technical manuals, procedures, and training content into structured workflows and interactive training assets. You'll work with LLMs, NLP, retrieval, and task extraction techniques to help convert complex source material into usable training system content.

What you’ll do
  • Develop software tools for extracting tasks, procedures, entities, requirements, and decision logic from technical documents
  • Build LLM, NLP, and retrieval-augmented workflows for working with manuals, procedures, and training content
  • Design data structures such as task graphs, step sequences, checklists, and instruction templates
  • Evaluate model outputs for accuracy, traceability, consistency, and usefulness to training system developers
  • Integrate AI-generated outputs into simulation, XR, or software training pipelines
  • Document model behavior, assumptions, limitations, and human-review requirements
What we’re looking for
  • Experience building applied AI, NLP, or LLM-enabled software in Python
  • Familiarity with retrieval-augmented generation, document processing, information extraction, or text classification
  • Ability to evaluate AI outputs carefully and design workflows that keep humans in the loop
  • Strong software engineering fundamentals and ability to work with structured and unstructured data
  • US Citizenship and ability to obtain a Secret clearance
Nice to have
  • Experience with technical manuals, military training content, maintenance procedures, or instructional systems
  • Familiarity with LangChain, LlamaIndex, vector databases, embeddings, OCR, or document parsing tools
  • Experience building knowledge graphs, task graphs, workflow engines, or structured content pipelines
  • Experience with defense, aerospace, training systems, or digital engineering applications
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