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Remote Natural Language Processing Engineer Jobs

(unknown company)

Data Scientist

Orlando, FL · On-site +1

... using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib ... Experience with ElasticSearch, information/document retrieval, natural language processing is a ...

YO IT Consulting

AI Engineer - Remote

YO IT Consulting is seeking an AI Engineer to apply expertise in training next-generation AI ... automation, natural language processing (NLP), computer vision, and related technologies -- to ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence ... natural language processing (NLP), and related technologies. • Proficiency in programming ...

Prorec Resource Solutions, LLC

Senior AI Developer

$55.75 - $73.75/hr

... natural language processing methods such as bag-of-words and word embeddings for representations • An understanding of applying natural language processing techniques to conversational turns such ...

Lynqex Labs

Senior AI Engineer

San Francisco, CA · On-site +1

$150K - $250K/yr

... and natural language processing * 3 Collaborate with cross-functional teams to integrate AI ... Flexible work hours and remote work options * Top‑tier equipment and home office setup

CREATIVE GLOBAL CONSULTING

Operations Analyst

Remote US Citizen REQUIRED SKILLS * Previous operations experience * DevOps * Deep analytical ... Experience implementing solutions that utilize robotic process automation (RPA), natural language ...

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Remote Natural Language Processing Engineer information

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$49.5K

$92K

$142.5K

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

As of Jul 14, 2026, the average yearly pay for remote natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 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.
More about Remote Natural Language Processing Engineer jobs
What cities are hiring for Remote Natural Language Processing Engineer jobs? Cities with the most Remote Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
What states have the most Remote Natural Language Processing Engineer jobs? States with the most job openings for Remote Natural Language Processing Engineer jobs include:
What job categories do people searching Remote Natural Language Processing Engineer jobs look for? The top searched job categories for Remote Natural Language Processing Engineer jobs are:
Remote Natural Language Processing Engineer jobs near you
Infographic showing various Remote Natural Language Processing Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

Data Scientist

(unknown company)

Orlando, FL • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Company Description
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 2 years' of experience in quantitative analytics or data modeling
• Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
• Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.

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