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Language Engineer Jobs in Florida (NOW HIRING)

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

AI/ML Engineer Experience: 4-7 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... The ideal candidate should have experience building scalable ML models, integrating Large Language ...

campus4tech

Electrical Engineer Manager

Orlando, FL · On-site

Electrical Engineer Manager Location: Orlando FL, 32817 Schedule: Monday- Friday Shift: 8am-5pm ... language skills are an advantage. • Advanced experience in intercultural collaboration and ...

TB ISLE RESORT LP

Engineer II

Aventura, FL · On-site

Scope of Position The Engineer II will perform general repairs, preventative maintenance, and other ... Ability to communicate in the English language (Second language is a plus). * Knowledge of proper ...

TB ISLE RESORT LP

Engineer I

Aventura, FL · On-site

Cooperate and assist Engineering management in the achievement of hotel and department goals ... Ability to communicate in the English language (Second language is a plus). * Knowledge of proper ...

TB ISLE RESORT LP

Engineer I

Aventura, FL · On-site

Cooperate and assist Engineering management in the achievement of hotel and department goals ... Ability to communicate in the English language (Second language is a plus). * Knowledge of proper ...

Marriott International

Engineer I

Aventura, FL · On-site

Cooperate and assist Engineering management in the achievement of hotel and department goals ... Ability to communicate in the English language (Second language is a plus). * Knowledge of proper ...

efcoforms

Project Engineer 1

Orlando, FL

Purpose The Project Engineer 1 is an entry-level engineering position that prepares visual ... Hearing- Must be able to discern warning sounds and spoken language: Frequently * Talking:

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Showing results 21-40

All JobsLanguage Engineer JobsLanguage Engineer Jobs in Florida

Language Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do language engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for language engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

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 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 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.

What are the most commonly searched types of Language Engineer jobs in Florida?

The most popular types of Language Engineer jobs in Florida are:

What are popular job titles related to Language Engineer jobs in Florida?

For Language Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Language Engineer jobs in Florida look for?

The top searched job categories for Language Engineer jobs in Florida are:

Language Engineer jobs near you
Infographic showing various Language Engineer job openings in Florida as of August 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $76,039 per year, or $36.6 per hour.

Development Engineer

Power Systems Mfg., LLC

Jupiter, FL • On-site

Full-time

Re-posted 24 days ago

Job description

POSITION: Development Engineer, Monitoring & Diagnostics

LOCATION: Jupiter, Florida / Hybrid

STATUS: Salaried Non-Exempt


JOB SUMMARY

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions of the job include, but are not limited to, the following:

  • Utilize and expand AWS Cloud infrastructure to enhance data analytics and monitoring capabilities (AWS full stack development, EC2, S3, Lambda, Amplify)
  • Utilize AI models for knowledge base agent/digital twin of gas turbine.
  • Develop/maintain software for monitoring, analyzing and graphically representing gas turbine operations.
  • Continuously refine/train models to mimic real life engine behavior, minimize false alarms, and predict gas turbine alarms before they occur
  • Work with operational team to support and troubleshoot issue with customer data and cloud infrastructure
  • Continuously improve the OSIsoft PI system architecture
  • Other duties as assigned


MINIMUM REQUIREMENTS

  • Education: Bachelor’s degree in Computer Science, Data Science, Data Analytics, Mechanical Engineering, or a related quantitative/technical field.
  • Generative AI & ML: Practical experience with Machine Learning (ML) and Artificial Intelligence (AI) frameworks. Familiarity with Large Language Models (LLMs) and Foundational Models via platforms like Amazon Bedrock.
  • Full-Stack Development: Understanding of AWS Full-Stack development workflows, including API Management, IAM roles, and cloud security best practices.
  • AWS Cloud Ecosystem: Hands-on experience with AWS Cloud Architecture. Proficiency in core services including EC2 (Compute), S3 (Storage), and AWS Lambda (Serverless).
  • Programming Languages: Proficiency in at least one modern language: Python, TypeScript, C#, or MATLAB.
  • DevOps & Tools: Basic knowledge of Software Development Life Cycle (SDLC), Version Control (Git/GitHub), and Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • Methodology: Familiarity with Agile/Scrum environments and iterative development processes.
  • Data Analysis: Strong aptitude for data visualization and data modeling.
  • DataBase experience: Experience with SQL and noSQL databases.

Preferred Skills/Experience

  • AWS Certifications: Active certifications such as AWS Certified Developer, Solutions Architect, or Machine Learning – Specialty.
  • Advanced AI/ML: Exposure to Natural Language Processing (NLP), Neural Networks, or Generative AI integration via Amazon Bedrock and SageMaker.
  • Data Science Stack: Proficiency in data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn)
  • Modern Web Frameworks: Experience in Full-Stack Development using React.js and TypeScript to build responsive user interfaces.
  • API Development: Knowledge of building and consuming RESTful APIs or GraphQL to connect front-end applications with cloud backends.
  • State Management: Familiarity with tools like Redux, Context API, or Zustand for complex UI logic.
  • Version Control: Mastery of Git workflows, including branching strategies, pull requests, and code reviews.
  • CI/CD Pipelines: Experience with AWS CodeCommit, GitHub Actions, or GitLab CI for automated testing and deployment.
  • Infrastructure as Code (IaC): Basic understanding of AWS CloudFormation or Terraform is a significant advantage.

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