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Natural Language Processing Jobs in Florida (NOW HIRING)

Citadel

Software Engineer - Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

Citadel

$4.5K - $5.8K/wk

You'll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

MANTECH

Data Scientist

Tampa, FL

Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights. * Designing and automating processes to facilitate the manipulation and analysis ...

HNTB

Sr AI Specialist, Team Lead

Tallahassee, FL · On-site

... natural language processing, computer vision, or predictive analytics solutions. • Experience with AI model selection, prompt engineering, model evaluation, testing, documentation, risk assessment ...

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Natural Language Processing information

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$10

$19

$36

How much do natural language processing jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for natural language processing in Florida is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $22.12 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Florida? The most popular types of Natural Language Processing jobs in Florida are:
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What cities in Florida are hiring for Natural Language Processing jobs? Cities in Florida with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $39,596 per year, or $19 per hour.

Sr. AI/ML Engineer (LLM)

Bomnin Automotive Group

Miami, FL • On-site

Other

Posted 15 days ago

Job description

Job description Company Description Dealer Automation Technologies is a leading Information Technology Services company that provides Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to redefine dealership operations. With a focus on intuitive user experiences and cutting-edge technologies, Dealer Automation Technologies is paving the way for innovation in the sector.

Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the company operates without dependence on legacy systems, fostering a dynamic and innovative work culture. Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key role in designing and implementing workflows that leverage large language models (LLMs, LAMs, LMMs, LVLMs, etc.) to automate processes and drive innovation in our products

The ideal candidate will have a deep understanding of NLP, experience with foundational models, and a flexible, problem-solving mindset. You will collaborate closely with cross-functional teams, contributing to the development of scalable AI driven solutions. Other primary responsibilities include designing and implementing machine learning models, particularly in natural language processing and large language models, building scalable algorithms, conducting research on neural networks, and evaluating model performance.

Additionally, the engineer will collaborate with cross-functional teams to ensure seamless integration of AI/ML components into the company's software offerings. Major Areas of Responsibility Design, Implement, and optimize workflows that incorporate large language models to automate and enhance product features. Leverage existing foundational models and adapt them to fit into various product requirements, ensuring alignment with business goals.

Collaborate with product managers, data scientist, and software engineers to integrate LLM-based automation into scalable solutions. Create and architect interpreters, Agented Systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses. Research and evaluate new technologies and methodologies in the LLM space to continuously improve product automation.

Work on the customization and fine-tunning of models to optimize performance for specific use cases. Develop, test, and deploy LLM-based services in production environments. Provide AI/ML technical leadership and mentorship to other engineers on the team.

Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices.

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