2

Remote Natural Language Processing Engineer Jobs in Miramar, FL

... and natural language processing is a big plus. * Understanding of the fundamentals of machine ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

... natural language processing. Our mission is to lower the barrier for organizations and people to ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

... Natural Language Understanding, Generative AI, etc. LLM and Diffusion models * Rapid career ... Remote work opportunities from Europe / US * The company has prominent clients with an opportunity ...

Digital Product Design Senior Manager

Miami, FL ยท On-site +1

$121K - $159K/yr

Remote We Are: Accenture is helping enterprises reinvent their organizations and businesses ... natural language processing, and large language models in professional settings. * Minimum of 4 ...

The AI Product and Engineering team is focused on bridging the gap between AI research and AI ... natural language processing. Our mission is to lower the barrier for organizations and people to ...

next page

Showing results 1-20

Remote Natural Language Processing Engineer information

See Miramar, FL salary details

$45.9K

$85.3K

$132.1K

How much do remote natural language processing engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote natural language processing engineer in Miramar, FL is $85,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $95,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Natural Language Processing Engineer, and why are they important?

To succeed as a Remote Natural Language Processing Engineer, you need strong programming skills in Python, a solid understanding of machine learning and linguistics, and a relevant degree in computer science or a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), cloud platforms, and version control systems is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication are crucial soft skills for this position. These abilities enable engineers to build robust language models, collaborate efficiently across distributed teams, and deliver impactful NLP solutions.

What is the difference between Remote Natural Language Processing Engineer vs Remote Data Scientist?

AspectRemote Natural Language Processing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in CS, NLP, or related; experience with NLP frameworksBachelor's or Master's in CS, Statistics, or related; experience with data analysis
Work EnvironmentFocus on NLP projects, language models, text analysisBroader data analysis, predictive modeling, data visualization
Industry UsageTech, AI, research, companies developing language-based productsFinance, healthcare, tech, consulting, across various sectors

Remote Natural Language Processing Engineers specialize in language-specific AI models and text analysis, while Remote Data Scientists work on broader data analysis and predictive modeling. Both roles require strong technical skills and often overlap in data handling, but NLP Engineers focus more on language data and models.

What does a Remote Natural Language Processing Engineer do?

A Remote Natural Language Processing (NLP) Engineer specializes in developing systems that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and chatbot creation, often utilizing machine learning and deep learning techniques. Working remotely, they collaborate with data scientists, software engineers, and product teams to build and optimize NLP models for various applications. Their work helps improve the way machines interact with people through written and spoken language.

How do Remote Natural Language Processing Engineers typically collaborate with other team members across different time zones?

Remote Natural Language Processing Engineers often work with cross-functional teams, including data scientists, software developers, and product managers, who may be distributed globally. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and coordinate project updates. Flexibility in scheduling and strong documentation skills are important to ensure everyone stays aligned despite time zone differences. Regular virtual meetings and asynchronous communication help address challenges and keep projects on track.
What are popular job titles related to Remote Natural Language Processing Engineer jobs in Miramar, FL? For Remote Natural Language Processing Engineer jobs in Miramar, FL, the most frequently searched job titles are:
What cities near Miramar, FL are hiring for Remote Natural Language Processing Engineer jobs? Cities near Miramar, FL with the most Remote Natural Language Processing Engineer job openings:

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL โ€ข On-site, Remote

Full-time

PTO

Posted 7 days ago

New


Job description

First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we've been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.

JOB KEY RESPONSIBILITIESย 

  • Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
  • Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
  • Collaborate with software engineers, product managers, designers, and analysts.
  • Deliver testable, maintainable, and high-quality code.
  • Monitor, test, and continuously optimize our Machine Learning models.
  • Ensure that our user experience is the very best it can be.
  • Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
  • Collaborate with key internal stakeholders.
  • Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
  • Regularly update knowledge with the latest trends and developments in the machine learning industry.
  • Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

Requirements

WHAT YOU'LL BRING TO THE PARTY (MUST HAVES)
  • Minimum 2 years work experience.ย 
  • Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
  • Experience with open source LLMs and relevant hardware to host them.
  • Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
  • Skilled in API integration with various providers and enhancing customer experience.
  • Deep familiarity with data structures, data modeling, and software architecture.
  • Proficiency in Python and SQL. R is considered a plus as well.
  • Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
  • Proficiency in using version control tools such as Git.
  • Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
  • Experience analyzing a feature in production using analytics and experiments.
  • Experience in applying machine learning models to solve real-world problems.
YOU'LL THRIVE IN THIS ROLE IF YOU'RE SOMEONE (GREAT-TO-HAVE)
  • Experience working in startups
  • Experience with cloud services such as AWS and Azure.
  • Knowledge of the automotive industry is a plus.
  • Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.

Benefits

  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced-whether that's yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth-be it a new course, certification, or skill you've been eyeing
  • Regular team events, social calls, the best company SWAG, and a vibrant remote culture

WHY JOIN SEEZ?

At Seez, we're all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We've created a space where great work gets noticed, collaboration is second nature, and our values aren't just posters on the wall; they guide everything we do.

We're a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It's the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.