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Language Model Jobs in Houston, TX (NOW HIRING)

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 ...

AI Solutions Architect

Houston, TX · On-site

$120 - $160/hr

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 ...

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 ...

In this role, you will evaluate AI-generated Dutch speech, assess linguistic accuracy and authenticity, and provide detailed feedback to support language model improvement. No prior AI experience is ...

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Korean Language Expert

Houston, TX · Remote

$65 - $100/hr

In this role, you will evaluate, create, translate, and annotate Korean-language content to help enhance AI models' ability to understand and generate accurate, natural, and culturally appropriate ...

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts . The role requires strong language expertise, analytical ...

NDT Physicist

Houston, TX · On-site

$80 - $120/hr

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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Language Model information

See Houston, TX salary details

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How much do language model jobs pay per hour?

As of Sep 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 is a language model?

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 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 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 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 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:

AI Solutions Architect

Cnpc Usa Corporation

Houston, TX • On-site

Full-time

Re-posted 18 days ago


Key responsibilities

  • Design, prototype, implement, and integrate AI, machine learning, generative AI, and industrial analytics solutions for oil and gas technology applications.

  • Collaborate with subject-matter experts, product managers, designers, and software engineers to develop AI-enabled solutions that support technology development, product commercialization, and digital transformation.

  • Work with software engineering teams to integrate AI solutions into business workflows, cloud environments, data platforms, and production applications.


Job description

Company Profile:

CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our mission is to drive innovation through advanced research and development of next-generation technologies for oil and gas exploration and production.


Job Summary:

CNPC USA is seeking a highly experienced AI Solutions Architect to lead the design, prototyping, implementation, and integration of artificial intelligence, machine learning, generative AI, and industrial analytics solutions for oil and gas technology applications. This position is a key technical role responsible for translating open-ended business and technical challenges into scalable AI system architectures, decision-support tools, digital workflows, and production-ready analytical solutions.

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, optimization methods, operations research, and modern decision science. This role will work closely with subject-matter experts, product champions, product managers, designers, and software engineers to develop AI-enabled solutions that support CNPC USA technology development, product commercialization, and energy-domain digital transformation.

Key Responsibilities:

  • Conduct exploratory and undirected technology development to address open-ended AI/ML problems and questions in the energy domain.
  • Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives.
  • Develop, prototype, and evaluate solutions using modern deep learning methods, foundation models, generative AI, modern NLP, vision-language models, small language models, and time-series analytics.
  • Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems.
  • Engineer appropriate system-level AI solutions in collaboration with subject-matter experts, product champions, product managers, designers, and software engineers.
  • Work with software engineering teams to integrate AI solutions into business workflows, cloud environments, data platforms, and production applications.
  • Prototype end-to-end data solutions across multiple cross-functional teams in high-visibility roles.
  • Generate innovative ideas, establish new technology development directions, and shape and execute technical projects from concept through deployment.
  • Maintain state-of-the-art knowledge and contribute to technical discussions, architecture reviews, project reviews, and expert assessments in related areas of responsibility.
  • Communicate sophisticated AI concepts, plans, recommendations, and results effectively to management, clients, technical stakeholders, and the broader business community.
  • Prepare oral and written reports, presentations, technical memoranda, project documentation, and executive-level summaries.
  • Work effectively with peers, management, operations groups, and outside organizations to advance technology development and deployment.
  • Participate in relevant technical reviews and audits of projects as requested.
  • Review, mentor, and coach junior team members while defining and promoting standards, best practices, reusable architectures, and lessons learned.
  • Actively disseminate knowledge through webinars, talks, tutorials, technical communities, and internal training activities.


Minimum Education & Experience Requirements:

  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or foreign equivalent.
  • Three (3) years of post-baccalaureate experience in the job offered or in any AI/data science-related job title.

Applicants must have three (3) years of experience in each of the following:

  • AI and data science in the decision science and operations research space using software implementation technology.
  • Markov decision process methods and applications.
  • Data mining for analytics and decision making.
  • LLM-based generative AI solution development.
  • Vision-language model and small language model system development.
  • Modern NLP development in AI.
  • Computational intelligence and non-convex optimization techniques.
  • Time-series analysis techniques using statistics and AI.
  • Applied mathematics and statistics.
  • Cloud development tools and cloud environments for AI, data mining, and large-scale data systems.
  • Optimization solver tools, including CPLEX.
  • Programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch.


Preferred Experience:

  • Experience applying AI/ML, optimization, and decision science to oilfield, drilling, completion, reservoir, production, or other oil and gas related domains.
  • Experience architecting end-to-end AI systems, including data pipelines, model development, model serving, evaluation, monitoring, and workflow integration.
  • Experience with generative AI application patterns such as retrieval-augmented generation, domain-specific copilots, multimodal AI workflows, and human-in-the-loop decision support.
  • Experience translating ambiguous business needs into technical roadmaps, architecture options, proof-of-concept demonstrations, and scalable implementation plans.
  • Experience leading cross-functional technical discussions and mentoring engineers or data scientists on AI solution design and best practices.


Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential job functions.

While performing the duties of this job, the employee is regularly required to talk or hear. This is a sedentary role; however, some filing, bending and the ability to lift 20 lbs. is required.


Travel:

This position requires 5-10% domestic and international travel for internal workshops, project work sessions, technical workshops, conferences, and customer presentations. Local travel between other CNPC USA locations and testing or partner facilities may be required.


Work Arrangement:

Telecommuting is permitted less than 50% per week within the same geographic location as the assigned CNPC USA office location.


Supervisory Responsibility:

This position has no direct supervisory responsibilities; however, it does act as a mentor and technical point of contact for less experienced engineers, data scientists, and AI/ML team members.

CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status.

Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.