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Language Model Jobs (NOW HIRING)

Oxy

Senior AI Language Model Engineer

Houston, TX · On-site

$99K - $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 · On-site

$99K - $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 · On-site

$122K - $168K/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 Aug 25, 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 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.

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Language Model jobs near you
Infographic showing various Language Model job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Vision Language Model Engineer

EchoTwin AI

San Francisco, CA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. As a Vision Language Model Engineer, you will design, develop, and optimize advanced vision-language models that integrate visual and textual data to enable intelligent systems, working closely with cross-functional teams to build applications such as image captioning and multimodal AI.
Responsibilities:
• Design and implement state-of-the-art vision-language models using deep learning frameworks.
• Develop and fine-tune models that combine computer vision and natural language processing for tasks like image captioning, visual question answering, and text-to-image generation.
• Collaborate with data scientists and software engineers to integrate models into production systems.
• Optimize model performance for accuracy, latency, and scalability in real-world applications.
• Conduct experiments to evaluate model performance and iterate on architectures and training pipelines.
• Stay up-to-date with the latest research in vision-language models and incorporate advancements into projects.
• Contribute to data preprocessing, augmentation, and annotation pipelines for multimodal datasets.
• Document model development processes and present findings to technical and non-technical stakeholders.
Qualifications:
Required:
• Bachelor’s, Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field (or equivalent experience).
• 3+ years of experience in machine learning, with a focus on vision-language models or multimodal AI.
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Proven track record of building and deploying computer vision and/or NLP models.
• Proficiency in Python and relevant ML libraries (e.g., Hugging Face, OpenCV, Transformers).
• Experience with large-scale model training and optimization (e.g., distributed training, quantization).
• Strong understanding of neural network architectures (e.g., CNNs, Transformers, CLIP, or similar).
• Experience with multimodal datasets and preprocessing techniques for images and text.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and model deployment workflows.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills to explain complex technical concepts to diverse audiences.
Company:
The Physical AI Operating System for Real-Time Urban Intelligence | Physical AI at City Scale Founded in 2024, the company is headquartered in Boca Raton, USA, with a team of 11-50 employees. The company is currently Early Stage.

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