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Language Model Jobs in Florida (NOW HIRING)

Knowledge of LamaIndex, a large-scale language model from Google. • LangChain Open Source Models: Experience with using open source language models from the LangChain project. • Natural Language ...

In this role, you will evaluate AI-generated Dutch speech, assess linguistic accuracy and authenticity, and provide detailed feedback to support language model improvement. No prior AI experience is ...

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Language Model information

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 in Florida are hiring for Language Model jobs?

Cities in Florida with the most Language Model job openings:

Infographic showing various Language Model job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Generative AI developer

Tampa, FL • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Generative AI developer with over 6 years of experience. The role involves working with various AI technologies including NLP, speech recognition, and computer vision to develop innovative solutions.
Responsibilities:
• Overall 6+ years' experience in Generative AI developer
• Knowledge of LlamaIndex, a large-scale language model from Google.
• Experience with using openSource language models from the LangChain project.
• Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Knowledge of speech recognition and synthesis technologies.
• Experience with computer vision tasks such as image classification, object detection, and segmentation.
• Understanding of RAG models and their applications.
Qualifications:
Required:
• Overall 6+ years' experience in Generative AI developer
• Knowledge of LlamaIndex, a large-scale language model from Google.
• Experience with using openSource language models from the LangChain project.
• Proficiency in NLP tasks such as text classification, named entity recognition, and question answering.
• Knowledge of speech recognition and synthesis technologies.
• Experience with computer vision tasks such as image classification, object detection, and segmentation.
• Understanding of RAG models and their applications.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.