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Natural Language Processing Jobs in Texas (NOW HIRING)

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

NLP (Natural Language Processing) Generative AI & Large Language Models (LLM) Python Skills * Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience ...

Stay updated with advancements in conversational design, natural language processing, and AI technologies, and leverage them to enhance the conversational experiences. * Advocate for user-centered ...

Stay updated with advancements in conversational design, natural language processing, and AI technologies, and leverage them to enhance the conversational experiences. * Advocate for user-centered ...

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

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.

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.

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

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Natural Language Processing information

See Texas salary details

$13

$23

$45

How much do natural language processing jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for natural language processing in Texas is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $27.55 per hour, depending on experience, location, and employer.

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 kind of jobs use natural language processing?

Natural language processing (NLP) is used in roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These jobs involve developing algorithms for language understanding, sentiment analysis, chatbots, and voice recognition systems, often requiring programming skills in Python and familiarity with NLP libraries like NLTK or spaCy.

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.

What are the most commonly searched types of Natural Language Processing jobs in Texas? The most popular types of Natural Language Processing jobs in Texas are:
What job categories do people searching Natural Language Processing jobs in Texas look for? The top searched job categories for Natural Language Processing jobs in Texas are:
What cities in Texas are hiring for Natural Language Processing jobs? Cities in Texas with the most Natural Language Processing job openings:
Infographic showing various Natural Language Processing job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $49,365 per year, or $23.7 per hour.
Lead Developer | Kore.AI | Dallas

Lead Developer | Kore.AI | Dallas

Photon

Addison, TX • On-site

$112K - $140K/yr

Full-time

Posted 7 days ago


Job description

Job Description
Job Title: Lead Developer - Kore.AI
Job Description:
As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in designing, developing, and maintaining conversational AI solutions using the Kore.AI platform. You will play a critical role in the development lifecycle, from requirements gathering to deployment, ensuring the delivery of high-quality and innovative conversational experiences.
Responsibilities:
  1. Lead a team of developers in the design, development, and maintenance of conversational AI solutions using the Kore.AI platform.
  2. Collaborate with cross-functional teams, including product managers, UX designers, and quality assurance, to gather requirements and translate them into technical specifications.
  3. Architect and design scalable and robust conversational AI solutions that align with project goals and requirements.
  4. Develop chatbots and virtual assistants using the Kore.AI platform, utilizing programming languages, scripting, and Kore.AI APIs and tools.
  5. Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations.
  6. Ensure code quality and adherence to best practices, perform code reviews, and provide technical guidance and mentoring to junior developers.
  7. Work closely with DevOps teams to establish continuous integration and deployment pipelines for efficient and automated software releases.
  8. Troubleshoot and resolve technical issues and bugs, ensuring smooth operation of conversational AI solutions.
  9. Stay up to date with the latest trends and advancements in conversational AI, natural language processing, and related technologies, and apply them to improve development processes and outcomes.
  10. Provide technical leadership, guidance, and support to the development team, fostering a collaborative and innovative work environment.

Requirements:
  1. Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's degree is a plus.
  2. Proven experience as a software developer, with expertise in designing and developing conversational AI solutions.
  3. Strong proficiency in programming languages such as Java, Python, or JavaScript.
  4. Experience working with conversational AI platforms, specifically Kore.AI, and familiarity with its APIs and tools.
  5. Solid understanding of natural language processing (NLP) and natural language understanding (NLU) concepts and technologies.
  6. Experience with cloud platforms such as AWS, Azure, or GCP, and knowledge of containerization technologies like Docker.
  7. Excellent problem-solving and debugging skills, with a keen attention to detail.
  8. Strong leadership and team management skills, with the ability to mentor and guide developers effectively.
  9. Familiarity with agile software development methodologies and tools.
  10. Excellent verbal and written communication skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

As the Lead Developer for Kore.AI, you will have the opportunity to lead and contribute to the development of cutting-edge conversational AI solutions. Your technical expertise, leadership skills, and passion for innovation will drive the success of the team and enable the delivery of exceptional conversational experiences.