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Nlp Developer Jobs in Texas (NOW HIRING)

United IT

GenAI NLP ML Engineer

Austin, TX

GenAI NLP ML Engineer Location: Austin TX Key Responsibilities: * 10+ yrs experience minimum ... Lead Platform and DevOps: CI/CD, containerization, observability, and environment automation in a ...

DKMRBH Inc.

NLP Architect

Houston, TX · On-site

$61 - $78.25/hr

Role : NLP Architect Location : Houston, TX (Hybrid) Overview: We are launching a critical ... Programming & Core Infrastructure: Elite coding skills in Python, Scala, or Java. • Framework ...

New

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 ...

New

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 ...

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

Implement natural language processing (NLP) capabilities for enhanced user interactions * Create ... Apply DevOps approaches for continuous integration and deployment * Implement CI/CD pipelines, Git ...

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Nlp Developer information

See Texas salary details

$15

$49

$76

How much do nlp developer jobs pay per hour?

As of Jun 12, 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.

Which 3 jobs will survive AI?

NLP developers are likely to continue playing a vital role as AI advances, focusing on designing and improving language models. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethicists, and software engineers—are also expected to persist. These roles involve skills that are difficult for AI to fully replicate, ensuring ongoing demand.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI researchers or executive positions like AI directors or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

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 businesses seek to automate and analyze language data.

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 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, with roles requiring strong technical expertise and leadership abilities.

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.
What are popular job titles related to Nlp Developer jobs in Texas? For Nlp Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Nlp Developer jobs in Texas look for? The top searched job categories for Nlp Developer jobs in Texas are:
Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in Texas as of June 2026, with employment types broken down into 57% Full Time, 8% Part Time, 3% Temporary, and 32% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% 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

Posted 11 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.