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Language Model Jobs (NOW HIRING)

Oxy

Sr AI Language Model Engineer

Houston, TX · On-site

$99.70K - $137K/yr

Oxy is seeking an experienced and innovative individual contributor for the position of AI Language Model Engineer within their AI Center of Excellence group. The role involves end-to-end design ...

Nvidia

OR · Hybrid

With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team. We're seeking a highly ...

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99.80K - $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

$99.80K - $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 ...

Nvidia

Senior Vision Language Model Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

We are seeking a senior vision language model engineer to design and build agentic data and training workflows for Autonomous Vehicles, Robotics, and Medical applications. The right person for this ...

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How much do language model jobs pay per hour?

As of May 30, 2026, the average hourly pay for language model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

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 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.

More about Language Model jobs
What cities are hiring for Language Model jobs? Cities with the most Language Model job openings:
What states have the most Language Model jobs? States with the most job openings for Language Model jobs include:
What job categories do people searching Language Model jobs look for? The top searched job categories for Language Model jobs are:
Language Model jobs near you
Infographic showing various Language Model job openings in the United States as of May 2026, with employment types broken down into 17% Internship, 58% Full Time, 17% Part Time, and 8% Contract. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.
Sr AI Language Model Engineer

Sr AI Language Model Engineer

Oxy

Houston, TX • On-site

$99.70K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Oxy is seeking an experienced and innovative individual contributor for the position of AI Language Model Engineer within their AI Center of Excellence group. The role involves end-to-end design, research, development, and deployment of language engineering use cases, with a focus on collaboration and client engagement.
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:
Required:
• 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.
Preferred:
• 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.
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
Oxy logo

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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