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Language Model Jobs in Carrollton, TX (NOW HIRING)

Droisys

Principal AI Engineer

Dallas, TX · On-site

This role requires expertise in building and deploying Large Language Model (LLM)-powered, production-grade systems within regulated enterprise environments. You will be responsible for end-to-end ...

Deloitte

Customer Deployment Specialist

Dallas, TX · On-site

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

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All JobsLanguage Model JobsLanguage Model Jobs in Carrollton, TX

Language Model information

See Carrollton, TX salary details

$9

$30

$64

How much do language model jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for language model in Carrollton, TX is $30.28, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $37.84 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 cities near Carrollton, TX are hiring for Language Model jobs?

Cities near Carrollton, TX with the most Language Model job openings:

Language Model jobs near you

Principal AI Engineer

Droisys

Dallas, TX • On-site

Other

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

Job description

Principal AI EngineerIntroduction:

As a Principal AI Engineer, you will be based in Dallas. This role requires expertise in building and deploying Large Language Model (LLM)-powered, production-grade systems within regulated enterprise environments. You will be responsible for end-to-end ownership across AI pipeline architecture, model integration, document processing, observability instrumentation, and real-world deployment within financial services compliance and governance frameworks.

Responsibilities:
  • Design and deploy LLM-powered solutions using Amazon Bedrock, Azure OpenAI, and direct API integration.
  • Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks.
  • Design and implement AI pipeline architecture for document conversion, ingestion, and analysis.
  • Transform complex, unstructured corporate documents into structured data for LLM reasoning.
Requirements:Required Skills:
  • Experience with Large Language Models (LLMs).
  • Proficiency in Artificial Intelligence technologies.
  • Knowledge of Prompt Engineering.
  • Experience with Amazon Web Services (AWS).
  • API integration skills.
Preferred Skills:
  • Previous experience working with financial services compliance and governance frameworks.
  • Hands-on experience in building and deploying production-grade AI systems.
  • Familiarity with Azure OpenAI.

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