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Language Engineer Jobs in Dallas, TX (NOW HIRING)

AI Lead Engineer

Dallas, TX ยท On-site

$150 - $210/hr

Large Language Models (LLMs) * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data ...

New

Dynatrace Engineer

Dallas, TX ยท Remote

$58.25 - $77.50/hr

Dynatrace Engineer Location: Remote The Mission ConglomerateIT needs a Dynatrace Engineer to take ... Hands-on Dynatrace Query Language (DQL) -- 5+ years * Hands-on Dynatrace configuration and ...

AI Engineer

Dallas, TX

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer

Dallas, TX ยท On-site

AI Engineer | Python + GenAI + Data | 8+ Years Experience * 8+ years of engineering experience with Python as the primary language across data, AI, and backend systems * Strong proficiency in ...

AI Engineer

Dallas, TX ยท On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Data Engineer

Westlake, TX ยท On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode ... Direct experience working with, tuning, and optimizing Large Language Models (LLMs). * Database ...

Showing results 41-60

Language Engineer information

See Dallas, TX salary details

$38.6K

$100.7K

$136.1K

How much do language engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for language engineer in Dallas, TX is $100,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $115,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a language engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a language engineer?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What does a language engineer do?

A language engineer develops and improves natural language processing (NLP) systems, such as speech recognition, translation, and chatbots. They work with linguistic data, machine learning models, and programming tools to create systems that understand and generate human language effectively.

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

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

How much do language engineers make?

Language engineers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in natural language processing and machine learning can command higher salaries. Compensation may also include benefits such as bonuses and stock options.
What job categories do people searching Language Engineer jobs in Dallas, TX look for? The top searched job categories for Language Engineer jobs in Dallas, TX are:
Infographic showing various Language Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $100,699 per year, or $48.4 per hour.

AI Lead Engineer

Doist

Dallas, TX โ€ข On-site

$150 - $210/hr

Other

Posted 2 days ago

New


Job description

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills
  • Artificial Intelligence (AI) & Machine Learning (ML)
  • Deep Learning
  • Generative AI (GenAI)
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings & Vector Databases
  • Fine-tuning LLMs
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Data Preprocessing & Feature Engineering
  • Model Training, Validation & Evaluation
  • Statistics & ML Algorithms
  • MLOps
  • CI/CD Pipelines
  • Docker
  • Kubernetes
  • REST APIs & Microservices
  • Cloud Platforms (Azure / AWS / GCP)
  • AI Model Deployment & Productionization
  • Security, Privacy & Responsible AI
  • Problem Solving & Analytical Skills
  • Agile/Scrum Preferred (Good to Have):
Good to have
  • Agile/Scrum Preferred (Good to Have)
  • Retail domain experience
  • Enterprise Transformation projects
  • Model Governance
  • Stakeholder Management
  • Excellent Communication Skills
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