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Natural Language Processing Jobs in Alabama (NOW HIRING)

Specialization in NLP (Natural Language Processing), Generative AI, or Agentic AI. Experience: Required: * Minimum of 10 years of experience in advanced analytics initiatives, including mandatory ...

Data Architect IRES - HSV

Redstone Arsenal, AL · On-site +1

$65 - $83.75/hr

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 ...

Must be able to satisfy the English Language Proficiency qualification requirements in 49 CFR §391 ... As part of our pre-employment hiring process, background checks and drug screens are performed. For ...

Must be able to satisfy the English Language Proficiency qualification requirements in 49 CFR §391 ... As part of our pre-employment hiring process, background checks and drug screens are performed. For ...

Must be able to satisfy the English Language Proficiency qualification requirements in 49 CFR §391 ... As part of our pre-employment hiring process, background checks and drug screens are performed. For ...

Must be able to satisfy the English Language Proficiency qualification requirements in 49 CFR 391 ... As part of our pre-employment hiring process, background checks and drug screens are performed. For ...

Showing results 41-60

Natural Language Processing information

See Alabama salary details

$12

$23

$43

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:

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.

AI Subject Matter Expert (SME)

Geeks & Nerds

Huntsville, AL • On-site

Full-time

Re-posted 29 days ago


Job description

Wanted - Big Brains & Huge Hearts: We are looking for creative and passionate geeks, nerds, thinkers, tinkerers, and builders.


Geeks and Nerds is an innovative technology company that encourages ingenuity, defies the norm, fosters teamwork, and defines the future for our community and nation.


Come join the company that develops innovative solutions that makes a positive difference in our community and nation. Join a company of significance!


Responsibilities:

  1. Strategic AI Development:
    • Lead the design, development, and implementation of innovative AI/ML solutions tailored to national security challenges, priorities, and growth
    • Provide technical expertise to align AI strategies with government agency requirements and mission objectives across the agencies associated with national security, including but not limited to DoD (Army, Navy, Air Force, Space Force), Homeland Security (DHS), and intelligence agencies
  2. Technical Leadership:
    • Serve as the primary technical advisor on AI-related projects, ensuring the integration of cutting-edge technologies such as machine learning, natural language processing, computer vision, and autonomous systems
    • Collaborate with internal and external cross-functional teams to identify opportunities for AI applications and optimize existing systems and qualifications
  3. Research and Innovation:
    • Conduct research on emerging AI technologies and trends to maintain competitive advantage and relevancy
    • Develop proof-of-concept models and prototypes to demonstrate AI capabilities to collaborators, customers, and stakeholders for further project and product developments
  4. Client Engagement:
    • Develop relationships with other SMEs in the industry and with key government decision makers, providing expert guidance and showcasing the company’s AI solutions and their operational impact
    • Prepare and deliver technical presentations, white papers, and reports to communicate AI strategies and results effectively (internally and externally)
  5. Compliance and Security:
    • Ensure all AI solutions comply with federal regulations, including data security, privacy, and ethical AI standards
    • Collaborate with cybersecurity teams and IT to safeguard company AI systems against adversarial threats and maintain relevancy with rapidly changing technologies
  6. Training and Mentorship:
    • Provide training and mentorship to internal teams and government clients (as needed/contracted) on AI technologies and best practices
    • Develop educational materials and workshops to enhance AI literacy within the company

Qualifications: 

Required:

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Minimum of 7 years of experience in AI/ML development, with a focus on applications in national security or defense
  • Expert proficiency in:
    • Programming languages (such as Python, R, and Java)
    • ML frameworks (e.g. TensorFlow, PyTorch, or Scikit-learn)
    • Software development collaboration and version control tools (e.g. GitHub)
  • Strong understanding of AI ethics, trust, and responsible decision-making principles
  • Experience with advanced statistical modeling, data analysis, and modeling and simulation for mission-critical systems
  • Flexibility to travel (up to 30% of time) to:
    • Other Geeks and Nerds sites
    • Meet in person with clients/customers/stakeholders
    • Attend industry-relevant meetings/events

Soft Skills:

  • Strong communication and interpersonal skills
  • Proactive, organized self-starter
  • Thrives when working independently and collaboratively with internal and external teams/stakeholders
  • Ability to see the big picture while remaining detail-oriented
  • Willing and able to jump into the work with the team (not just manage)


Preferred:

  • Familiarity with DoD AI initiatives, including JAIC, Trusted AI, and autonomy frameworks
  • Knowledge of DFARS, FAR and compliance requirements
  • Experience with DevSecOps practices and cloud-native AI solutions


Special Requirements: 

  • Must be a US Citizen and successfully complete a U.S. government background investigation
  • Must have a Secret clearance or be capable of obtaining an interim Secret clearance


GaN Corporation is an Equal Opportunity Employer. We are pleased to consider all qualified applicants for employment without regard to race, color, gender, sexual orientation, gender identity, religion, national origin, age, marital status, veteran status, disability, genetic information, or any other legally protected classifications. GaN Corporation participates in E-Verify.