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Remote Natural Language Processing Engineer Jobs in Huntersville, NC

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... Natural Language Processing, NLP * Python * R * SQL * TensorFlow, Keras, and/or PyTorch * Microsoft ...

... large language models, natural language processing or similar discipline Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning performance and ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... and natural language processing. * Experience with Databricks or similar big data platforms is ...

Vibe Coding Tutor

Charlotte, NC ยท Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

Vibe Coding Tutor

Matthews, NC ยท Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt ... non-programmers building first applications through developers integrating AI into existing ...

Lovable Tutor

Matthews, NC ยท Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... and developers seeking rapid application prototyping and deployment with AI-powered tools.

Lovable Tutor

Charlotte, NC ยท Remote

$18 - $40/hr

Deep knowledge of Lovable AI-powered application builder including natural language app creation, U ... and developers seeking rapid application prototyping and deployment with AI-powered tools.

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Remote Natural Language Processing Engineer information

See Huntersville, NC salary details

$46.5K

$86.5K

$133.9K

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

As of Sep 7, 2026, the average yearly pay for remote natural language processing engineer in Huntersville, NC is $86,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $96,800.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote natural language processing engineer?

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.

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 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 are popular job titles related to Remote Natural Language Processing Engineer jobs in Huntersville, NC?

For Remote Natural Language Processing Engineer jobs in Huntersville, NC, the most frequently searched job titles are:

What job categories do people searching Remote Natural Language Processing Engineer jobs in Huntersville, NC look for?

The top searched job categories for Remote Natural Language Processing Engineer jobs in Huntersville, NC are:

What cities near Huntersville, NC are hiring for Remote Natural Language Processing Engineer jobs?

Cities near Huntersville, NC with the most Remote Natural Language Processing Engineer job openings:

SS Hackathon - AI Developer / AI Engineer

NEOGOV - Test

Concord, NC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).