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Nlp Developer Jobs in Texas (NOW HIRING)

TMS

NLP Architect (Security Architect

Houston, TX · On-site

NLP Architect (Security Architect) Location: Houston, TX (Hybrid) (1 week onsite every month. Look ... Programming & Core Infrastructure: Elite coding skills in Python, Scala, or Java. • Framework ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

Conversational AI Developer Locations: Irving/Dallas, Texas & Jacksonville Florida Duration ... Develop and integrate NLP and NLU components for intent recognition, entity extraction, and ...

Apple

Gate-level IR/EM CAD/NLP Engineer

Austin, TX · On-site

... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ... electrical engineering machine learning applications Experience with large language models ...

Marencor

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Portfolio of LLM applications and sample projects * 2+ years of NLP experience using tools such as ... DevOps with GitHub Actions or similar CI/CD tools. * 1+ years of writing and deploying ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

SIMILAR CAREER TITLESData Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher ...

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How much do nlp developer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for nlp developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a NLP developer?

An NLP developer is a software professional who designs and implements natural language processing systems that enable computers to understand, interpret, and generate human language. They typically work with machine learning models, programming languages like Python, and NLP libraries such as NLTK or spaCy to develop applications like chatbots, language translation, and sentiment analysis.

What does an NLP Developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

Is NLP in high demand?

NLP (Natural Language Processing) is a rapidly growing field within artificial intelligence, with increasing demand for NLP developers across industries such as tech, healthcare, and finance. Skills in machine learning, deep learning, and tools like Python and TensorFlow enhance job prospects, which are expected to remain strong as organizations prioritize automation and data analysis.

What are some common challenges faced by NLP Developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI executive, senior researcher, or lead developer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve significant responsibility, expertise in programming languages like Python, and experience with AI frameworks, and they often offer compensation packages including salary, bonuses, and stock options. Such high salaries are rare and usually found in top tech companies or startups with substantial AI initiatives.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires specialized expertise, leadership roles, and a strong track record of impact.

What are the key skills and qualifications needed to thrive as an NLP Developer, and why are they important?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.
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Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in Texas as of July 2026, with employment types broken down into 85% Full Time, 4% Part Time, 1% Temporary, 9% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

NLP Engineer CMS Documentation and Intelligent Automation

Vytwo

Prosper, TX • Remote

Full-time

Re-posted 6 days ago

Job description

Role: NLP Engineer CMS Documentation and Intelligent Automation
Duration: 7 months USA
Remote Work
Job description:
We are seeking an NLP Engineer with strong automation expertise to design and implement intelligent solutions that read, interpret, and operationalize CMS manuals and regulatory guidance.
The role focuses on leveraging NLP and LLMs to extract rules, conditions, exceptions, and compliance logic from complex structured and unstructured CMS documentation, and automating downstream workflows using Python and enterprise automation platforms.
Key Responsibilities:
  • Design and build NLP/LLM-driven pipelines to read and interpret CMS manuals, policies, and regulatory guidance.
  • Extract rules, conditions, exceptions, and eligibility logic from unstructured and semi-structured CMS documents (PDFs, HTML, Word, policy manuals).
  • Implement Document Intelligence / Intelligent Document Processing (IDP) solutions for large-scale CMS content ingestion.
  • Convert extracted regulatory logic into machine-readable rules and automated workflows.
  • Develop and productionize automation using Python and workflow orchestration tools such as UiPath and Power Automate.
  • Collaborate with clinical, compliance, actuarial, and engineering stakeholders to validate rule interpretations and ensure accuracy.
  • Ensure outputs are traceable, auditable, and aligned with CMS compliance standards.

Required skills:
  • Strong experience with NLP and LLM frameworks (e.g., spaCy, Hugging Face, Azure OpenAI/OpenAI).
  • Proven hands-on expertise in Python for text processing, rule extraction, and workflow automation.
  • Experience with Document Intelligence / IDP platforms and techniques.
  • Practical experience with UiPath, Power Automate, or similar enterprise automation tools.
  • Demonstrated ability to process and interpret complex regulatory and policy documents.
  • Experience building production-grade AI solutions in regulated industries.
  • Requires US residency of 3 years and subject to CMS background Checks

Desired skills:
  • Prior experience working with CMS manuals, healthcare regulations, or payer/provider policy documentation.
  • Healthcare domain experience (Medicare, Medicaid, RADV, HCC, payment integrity, utilization management).
  • Familiarity with agentic AI, rule engines, or decision orchestration frameworks.
  • Cloud experience (AWS preferred).

This is a remote position.