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Natural Language Processing Jobs in Alabama (NOW HIRING)

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.

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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 ...

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.

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Natural Language Processing information

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$12

$23

$43

How much do natural language processing jobs pay per hour?

As of Jul 4, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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 job?

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 opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
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:
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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