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Nlp Jobs in Raleigh, NC (NOW HIRING)

This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. You will drive experimentation, modeling, and ...

Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define agentic workflows and reasoning strategies for multi-step legal tasks. * Define retrieval ...

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Key Responsibilities: • Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products. • Develop and optimize NLP, LLM, and Retrieval-Augmented ...

Senior Data Scientist II

Raleigh, NC · On-site

$115K - $192K/yr

Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define agentic workflows and reasoning strategies for multi-step legal tasks. * Develop retrieval ...

Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define agentic workflows and reasoning strategies for multi-step legal tasks. * Develop retrieval ...

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/yr

Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define agentic workflows and reasoning strategies for multi-step legal tasks. * Develop retrieval ...

Python Developer with AI

Cary, NC · On-site

$47.75 - $66/hr

Build and integrate AI/ML, Deep Learning, NLP, Neural Networks, and LLM capabilities into enterprise applications. * Develop AI orchestration and automation workflows using modern AI/LLM frameworks.

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Nlp information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do nlp jobs pay per year?

As of Sep 1, 2026, the average yearly pay for nlp in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

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

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

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 linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Raleigh, NC?

The most popular types of Nlp jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Nlp jobs?

Cities near Raleigh, NC with the most Nlp job openings:

Infographic showing various Nlp job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.

Senior NLP & GenAI Data Scientist (Legal Tech)

NLP PEOPLE

Raleigh, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NLP PEOPLE is seeking an AI Engineer to assist in developing cutting-edge NLP and AI solutions for the legal market. You will collaborate with engineers and legal experts to translate validated AI approaches into customer-facing applications. The ideal candidate has a Master's degree in a quantitative field with at least 5 years of experience in machine learning and NLP. Strong coding skills in Python and familiarity with generative AI techniques are essential.