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Nlp Jobs in Raleigh, NC (NOW HIRING)

LexisNexis

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 ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$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 ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

Required Qualifications 10+ years of data science experience (background in NLP, then past 4-5 years strong GenAI data science experience) Strong experience with production-grade ML systems at scale ...

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

Expertise in NLP, transformers, deep learning, and model fine‑tuning. Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, RAG, Kubernetes, and vector databases. Experience designing ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/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 ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/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 ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/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 ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/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 ...

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/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 ...

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Nlp information

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$36.5K

$119.3K

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How much do nlp jobs pay per year?

As of Aug 7, 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 NLP a good career?

NLP (Natural Language Processing) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. The field offers opportunities for research, development, and application of innovative solutions, making it a promising career choice for those interested in AI and language technologies.

What jobs can you do with natural language processing?

Jobs with natural language processing (NLP) include roles such as NLP engineer, data scientist, machine learning engineer, and computational linguist. These positions involve developing algorithms, building language models, and analyzing text data using tools like Python, TensorFlow, or spaCy, often requiring knowledge of linguistics and programming skills.
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 are popular job titles related to Nlp jobs in Raleigh, NC? For Nlp jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Nlp jobs in Raleigh, NC look for? The top searched job categories for 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:
Nlp jobs near you
Infographic showing various Nlp job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 2% Part Time, and 7% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Senior Data Scientist I at Disability Solutions Raleigh, NC

Downtown Boulder Partnership

Raleigh, NC • On-site

$100 - $130/hr

Other

Posted 2 days ago

New

Job description

Senior Data Scientist I job at Disability Solutions. Raleigh, NC. ** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

Are you looking to develop your Data Scientist experience? Would you enjoy working on our cutting-edge products?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward.

Responsibilities
  • Working to solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
  • Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data.
  • Apply machine learning techniques for improving search algorithms.
  • Drive best practices for NLP/Machine Learning pipelines.
  • Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods, able to quickly evaluate alternatives.
  • Translate complex business requirements into actionable stories with reasonable time estimates.
  • Work with product leaders to apply data science solutions.
Requirements
  • In-depth understanding of machine learning techniques such as classification, clustering, recommendation systems, and statistical models.
  • Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
  • Proficiency training large scale models in at least one modern deep learning engine such as TensorFlow, Keras, PyTorch/Torch, MXNet, Caffe/Caffe2.
  • Min 5 years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy.
  • Min 5 years recent coding experience using Python AND/OR (Java OR Scala).
  • SQL programming experience.
  • Experience and ability to design and work within complex data models.
  • Strong skills in setting, communicating, implementing, and achieving business objectives and goals.
  • Familiarity with Cloud-based Machine Learning environments, Spark, Visualization/Dashboarding, Elasticsearch, Solr, Graph DBs (i.e., Janus Graph, Neptune, etc.).
  • Able to work well on a Small Team and Lead other more Jr members of the team.
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