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Natural Language Processing Jobs in Alabama (NOW HIRING)

Forhyre

Prompt Engineers

Montevallo, AL

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

IBML

Solutions Engineer-Americas

Birmingham, AL · On-site

Work with computer vision and natural language processing techniques to enhance the accuracy and efficiency of AI tools. * Collaborate with business analysts and team members to understand business ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

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 ...

Forhyre

AI Cloud Solutions Director

Montevallo, AL

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

1st Edge LLC

2024-01-1E AI/ML Engineer

Huntsville, AL · On-site

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 ...

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How much do natural language processing jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for natural language processing in Alabama is $23.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $26.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

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 strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Alabama?

The most popular types of Natural Language Processing jobs in Alabama are:

What are popular job titles related to Natural Language Processing jobs in Alabama?

For Natural Language Processing jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Alabama look for?

The top searched job categories for Natural Language Processing jobs in Alabama are:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $48,026 per year, or $23.1 per hour.

Solutions Engineer-Americas

Enterprise Document Scanning & Intelligent Document Processing

Birmingham, AL • On-site

Full-time

Re-posted 19 days ago

Job description

PURPOSE

At ibml, our intelligent capture solutions extract valuable information from complex documents and accelerate it for immediate use in business applications through the power of speed, intelligence, and unsurpassed experience. The primary function of the Solutions Engineer will be to provide superb technical sales support throughout the discovery process of each sales engagement and ensure customer needs are being addressed in the most effective manner.

JOB DESCRIPTION

This technical position involves analyzing, creating, and proposing high quality IDP solutions that are based on a  combination of ibml’s hardware, software, and AI technologies.

ROLE AND RESPONSIBILITIES

  • Responsible for identifying and maximizing solutions revenue.
  • Assist the ibml Sales with event support, public relations engagements, and pre-sales technical engagements, including but not limited to RFP/RFI technical responses, customer site visits, and individual account related communications.
  • Assist Customer Service with transitioning pre-sales technical requirements to implementation requirements.
  • Maintain technical product skills in the areas of networks/communication, databases, AI frameworks and ibml products.
  • Ensure overall customer satisfaction with ibml solutions and services.
  • Attend sales process related meetings for the purpose of providing technical input and maintaining account status information.
  • Assist Engineering with technical input for product enhancements, fixes, or new product development.
  • Analyze customer operations for the purpose of process improvements.
  • Maintain technical relationships with customers, re-sellers, and suppliers and report on new industry trends within each of the defined vertical markets.
  • Remain current on industry trends and help position ibml solutions and services as the industry leader.
  • Work with computer vision and natural language processing techniques to enhance the accuracy and efficiency of AI tools.
  • Collaborate with business analysts and team members to understand business requirements and translate them into technical solutions.

SKILLS, QUALIFICATIONS AND EDUCATION REQUIREMENTS

  • Bachelor's level degree in a technical field (Engineering, Computer Science, MIS, Business, or equivalent degree) or equivalent experience.
  • Experience in intelligent document recognition, electronic content management or related areas would be considered a plus.
  • Minimum 3 years of business and technical sales experience
  • Consultative selling or solution selling business-to-business experience is crucial.
  • Past programming, data capture software and imaging platform experience
  • Experience using LLMs, especially in an application that involves classification or data extraction.
  • An understanding of natural language processing techniques 
  • Genuine interest and passion for continuous improvement, especially in the application of AI technology
  • Ability to travel to domestic and international locations at least 50% of the time.
  • Excellent oral and written communication skills
  • Excellent planning, presentation, and organization skills
  • Strong consultative critical thinking skills
  • Strong client service orientation
  • Realistic scheduling and observance of deadlines
  • Integrity, creativity, intellectual curiosity, ambitious standards, persistence, and achievement-oriented
  • Ability to work collaboratively in a team-based environment.
  • Ability to prioritize and work independently without supervision.
  • Proficiency in programming languages including C# and Microsoft .NET a plus.
  • Effective communication and team collaboration skills to gather requirements and communicate alternatives, risks, and technical design.

ADDITIONAL NOTES

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