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Natural Language Processing Engineer Jobs in Texas

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms ... Strong programming skills in Python * Experience with SQL and NoSQL databases * Strong problem ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

Perform prompt engineering, pre-processing, and post-processing to optimize output suitability ... Strong foundation in large language models (LLMs) and natural language processing (NLP), with ...

webAI Inc

Staff R&D AI Engineer

Austin, TX · On-site

Strong expertise in both computer vision and natural language processing with hands-on model ... Strong programming skills in Python with experience in distributed training and model optimization

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Perform prompt engineering, pre-processing, and post-processing to optimize output suitability ... Strong foundation in large language models (LLMs) and natural language processing (NLP), with ...

FreedomPay

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... Natural Language Processing like named entity recognition, information extraction, and sentiment analysis • Comfort working in a Unix environment Company : FreedomPay is a white label e-commerce ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Collaborate with data scientists and software engineers to design and implement scalable and ... Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience ...

Audubon Companies

Senior Gas Processing Engineer

Houston, TX · On-site

$100K - $130K/yr

The Senior Gas Processing Engineer at Audubon provides technical leadership for the design, optimization, and execution of natural gas processing facilities, including treating, dehydration ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Requirements: • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a ... natural language processing (NLP) or computer vision (CV) techniques. • Experience with ...

Redolent, Inc.

Sr. Full Stack Engineer

Irving, TX · On-site

Job Title: Sr. Full Stack Engineer Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler ... Experience with Large Language Models (LLMs) , Generative AI , Natural Language Processing (NLP ...

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Natural Language Processing Engineer information

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$46.1K

$85.7K

$132.8K

How much do natural language processing engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for natural language processing engineer in Texas is $85,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $96,000.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Engineer position, and why are they important?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Texas? The most popular types of Natural Language Processing Engineer jobs in Texas are:
What are popular job titles related to Natural Language Processing Engineer jobs in Texas? For Natural Language Processing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in Texas look for? The top searched job categories for Natural Language Processing Engineer jobs in Texas are:
What cities in Texas are hiring for Natural Language Processing Engineer jobs? Cities in Texas with the most Natural Language Processing Engineer job openings:
Natural Language Processing Engineer jobs near you

melia Developer ( Voice & Chat ) at Location: San Antonio, TX / Plano, TX

Volto USA

Plano, TX • On-site

Contractor

Posted 28 days ago

Job description

Amelia Developer ( Voice & Chat )
Key Skills & Experience to Highlight
• Conversational AI Platform Experience: Direct experience with Amelia (formerly IPsoft) is primary.
• Voicebot Development: Expertise in speech-to-text, text-to-speech, and designing natural, human-like voice conversations.
• NLP & Machine Learning: Strong background in Natural Language Processing, intent recognition, and entity extraction.
• Integration Skills: Experience connecting bots to backend systems via APIs (REST, SOAP, XML).Must have strong experience integrating Amelia with tools like AWS Connect, Backend APIs, Webhooks, ITSM tools like Servicenow, Jira, Rally, Contact center technologies, ADS, SSO, LDAP, Scripting in Python Javascript, React Js
• Technical Proficiencies: Python (4+ years preferred), JSON, and familiarity with ServiceDesk or IT Ops automation.
• Solution Architecture: Ability to design, build, and deploy conversational solutions for customer service or internal IT
Skills: CTI Cisco~Genesys Inbound Voice