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Language Model Jobs in Houston, TX (NOW HIRING)

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $137K/yr

Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability. * Fine-tune and optimize multi-agentic systems to ...

Oxy

Senior AI Language Model Engineer

Houston, TX

$99K - $137K/yr

Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability. * Fine-tune and optimize multi-agentic systems to ...

Cnpc Usa Corporation

AI Solutions Architect

Houston, TX · On-site

The ideal candidate will have advanced working knowledge of data analytics, modern machine learning algorithms, foundation models, large language models, vision-language models, small language models ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

NOV, Inc.

NDT Physicist

Houston, TX · On-site

Knowledge of computer vision or vision-language model for NDT or automation * Knowledge of industry standards such as API, ASTM. * Strong problem-solving skills and experience with practical problem ...

NOV, Inc.

NDT Physicist

Houston, TX

Knowledge of computer vision or vision-language model for NDT or automation * Knowledge of industry standards such as API, ASTM. * Strong problem-solving skills and experience with practical problem ...

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All JobsLanguage Model JobsLanguage Model Jobs in Houston, TX

Language Model information

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$9

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$64

How much do language model jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for language model in Houston, TX is $29.96, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $37.40 per hour, depending on experience, location, and employer.

What are language models?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a Language Model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.
What are popular job titles related to Language Model jobs in Houston, TX? For Language Model jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Language Model jobs in Houston, TX look for? The top searched job categories for Language Model jobs in Houston, TX are:
What cities near Houston, TX are hiring for Language Model jobs? Cities near Houston, TX with the most Language Model job openings:
Language Model jobs near you
Senior AI Language Model Engineer

Senior AI Language Model Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 26 days ago

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative individual contributor to fill the position of AI Language Model Engineer within our AI Center of Excellence group based in Houston, TX.
Essential Job Responsibilities
  • End-to-end design, research, development, and deployment of language engineering use cases, with continuous client engagement and collaboration.
  • Hands-on development in a shared codebase with the team. Back-end engineering with AWS, Terraform, etc. Working front-end proficiency when needed.
  • Design workflows for language model deployment. Perform prompt engineering, pre-processing, and post-processing to optimize output suitability.
  • Fine-tune and optimize multi-agentic systems to satisfy use case requirements.
  • Work with domain experts to assess model quality.

Qualifications:
  • PhD in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Very strong proficiency in Python, with hands-on experience using version control systems.
  • Strong foundation in large language models (LLMs) and natural language processing (NLP), with practical experience demonstrated through GitHub repositories, research publications, or a portfolio.
  • Familiarity with modern NLP/LLM frameworks and libraries such as LangChain, LangGraph, Hugging Face Transformers, and vector databases.
  • Experience with Retrieval-Augmented Generation (RAG), multi-agentic systems, and agentic frameworks (e.g., Strands Agents SDK), with the ability to design, build, and deploy end-to-end AI agents and orchestration pipelines.
  • Familiarity with cloud platforms such as AWS (EC2, S3, SageMaker, Bedrock, etc.) through projects.
  • Strong communication skills for collaborating with teams and presenting technical results.

Additional Desired Qualifications:
  • Familiarity with any front-end development (e.g., React) to build user-facing applications.
  • Ability to end-to-end develop and deploy full-stack applications - from data ingestion and model development through back-end APIs to front-end interfaces - in addition to the core data science and ML work.
  • Experience with database systems (SQL and/or NoSQL) and data pipeline orchestration tools (e.g., Step Functions).
  • Experience working in fast-paced, startup-like, or R&D-heavy environments.

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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