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Language Solutions Jobs in Houston, TX (NOW HIRING)

Vision-language model and small language model system development. * Modern NLP development in AI ... solution design and best practices. Physical Demands: The physical demands described here are ...

Design and implement complex IVR integrations with business systems and advance natural language solutions to improve customer experience and achieve higher contact center containment rates.

Design and implement complex IVR integrations with business systems and advance natural language solutions to improve customer experience and achieve higher contact center containment rates.

AI Solutions Architect

Houston, TX ยท On-site

$125 - $150/hr

Visionโ€‘language model and small language model system development. * Modern NLP development in AI ... solution design and best practices. Physical Demands: The physical demands described here are ...

Design and implement complex IVR integrations with business systems and advance natural language solutions to improve customer experience and achieve higher contact center containment rates.

Solutions Engineer

Houston, TX ยท On-site +1

$200K - $215K/yr

Our solutions are also vital for companies developing energy products or managing energy assets ... Expertise in upstream or downstream energy-can speak the language of NobleAI's core domains.

Solutions Engineer

Houston, TX ยท Remote

$200K - $215K/yr

Our solutions are also vital for companies developing energy products or managing energy assets ... Expertise in upstream or downstream energy--can speak the language of NobleAI's core domains.

Solutions Engineer

Houston, TX ยท On-site +1

$200K - $215K/yr

Our solutions are also vital for companies developing energy products or managing energy assets ... Expertise in upstream or downstream energy-can speak the language of NobleAI's core domains.

Solutions Engineer

Houston, TX ยท On-site

$200 - $250/hr

Our solutions are also vital for companies developing energy products or managing energy assets ... Expertise in upstream or downstream energy--can speak the language of NobleAI's core domains.

Showing results 21-40

Language Solutions information

See Houston, TX salary details

$30.6K

$42.1K

$48.7K

How much do language solutions jobs pay per year?

As of Sep 7, 2026, the average yearly pay for language solutions in Houston, TX is $42,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,700.00 and $47,700.00 per year, depending on experience, location, and employer.

What is language solutions?

Language Solutions refers to a range of services designed to facilitate effective communication across different languages. These services can include translation, interpretation, localization, transcription, and language consulting. Language Solutions providers help businesses, organizations, and individuals overcome language barriers in global markets, legal contexts, healthcare, and many other sectors. By ensuring accurate and culturally appropriate communication, Language Solutions help bridge gaps and support international collaboration.

How does a Language Solutions specialist typically collaborate with clients and internal teams to ensure accurate and culturally appropriate deliverables?

Language Solutions specialists frequently work closely with both clients and internal project teams to understand specific linguistic needs, project goals, and cultural nuances. They often participate in client briefings, coordinate with translators, editors, and subject matter experts, and use feedback loops to ensure high-quality, contextually accurate translations or localization. This role requires strong communication and project management skills, as well as the ability to adapt solutions based on client industry and regional requirements. Regular collaboration is key to delivering tailored language services that meet both linguistic and business objectives.

What are the key skills and qualifications needed to thrive in language solutions, and why are they important?

To thrive in Language Solutions, you need advanced proficiency in one or more languages, strong written and verbal communication abilities, and relevant academic credentials in linguistics, translation, or a related field. Familiarity with computer-assisted translation (CAT) tools, localization platforms, and industry certifications such as ATA or ISO are typically required. Excellent attention to detail, cultural sensitivity, and the ability to manage multiple projects efficiently are standout soft skills. These competencies ensure accuracy, consistency, and effective cross-cultural communication in diverse language service projects.

What is the difference between Language Solutions vs Language Interpreter?

AspectLanguage SolutionsLanguage Interpreter
CredentialsLanguage certifications, translation degreesInterpreter certifications, language proficiency tests
Work EnvironmentOffices, remote translation projectsConferences, legal settings, healthcare facilities
Industry UsageTranslation agencies, localization companiesLegal, medical, conference interpreting
Search/Comparison IntentTranslation services, localizationReal-time interpretation, spoken language services

Language Solutions typically involve translation and localization work, focusing on written content, while Language Interpreters provide real-time spoken language services in various settings. Both roles require language proficiency and certifications but differ mainly in their work environment and service delivery method.

What are popular job titles related to Language Solutions jobs in Houston, TX?

For Language Solutions jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Language Solutions jobs in Houston, TX look for?

The top searched job categories for Language Solutions jobs in Houston, TX are:

What cities near Houston, TX are hiring for Language Solutions jobs?

Cities near Houston, TX with the most Language Solutions job openings:

Infographic showing various Language Solutions job openings in Houston, TX as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $42,095 per year, or $20.2 per hour.

AI Solutions Architect

Cnpc Usa Corporation

Houston, TX โ€ข On-site

Full-time

Re-posted 19 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.