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Nlp Jobs (NOW HIRING)

Data Scientist - NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type: Full-time BizFirst is assisting our client with the hiring of a Data Scientist specializing in natural ...

New

September 8, 2026 - December 11, 2026 Schedule: 20 - 30 hours per week Compensation: $20.00 per hour About the Internship NLP Logix is seeking a motivated and detail-oriented Client Operations Intern ...

Program Manager

Jacksonville, FL · On-site

$90K - $120K/yr

Jacksonville, FL -- 100% Onsite NLP Logix is seeking a Program Manager to help drive the successful delivery of complex, multi-workstream client programs. This role is ideal for someone who enjoys ...

Design and train NLP models for tasks like classification, entity extraction, retrieval, summarization, and semantic search * Fine-tune and evaluate LLMs (open-source and API-based); build RAG ...

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics ...

Client Success Coordinator At NLP Logix, we help organizations turn ambitious AI ideas into real-world results. We are seeking a Client Success Coordinator to help keep client work organized ...

Delivery Operations Analyst At NLP Logix, we help organizations turn ambitious AI ideas into real-world results. Behind every successful delivery is accurate data, strong planning, and clear ...

NLP, Text mining, Tableau, Time series analysis. Please understand skills are required by clients for selection even if it's a junior or entry-level position. The additional skills are the only way a ...

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NLP information

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$37.5K

$122.7K

$196.5K

How much do nlp jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
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Cities with the most Nlp job openings:

What are the most commonly searched types of Nlp jobs?

The most popular types of Nlp jobs are:

What states have the most Nlp jobs?

States with the most job openings for Nlp jobs include:

Infographic showing various Nlp job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - NLP / Generative AI

Doist

Arlington, VA • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

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


Job description

Data Scientist – NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type: Full-time BizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation into production-ready AI capabilities. This is a hands‑on research and engineering role where you will own the design and delivery of NLP and GenAI solutions applied directly to the client’s most complex internal workflows. Our client is a mid‑market professional services organization that is actively rethinking how it designs and executes its core business operations through artificial intelligence and automation. The company is building a dedicated AI capability to embed machine learning and generative AI into its most critical internal workflows - from decision support and process automation to real‑time analytics and intelligent document processing.

What will you do

The ideal candidate brings 5-8 years of applied data science experience with a deep specialization in NLP and a working command of modern generative AI techniques. You have built production NLP systems, worked with transformer‑based architectures, and have direct experience with large language models – including fine‑tuning, prompt engineering, and retrieval‑augmented generation (RAG). You are comfortable moving between research and engineering as the work demands.

Responsibilities
  • Design and build NLP and generative AI solutions applied to internal business processes, including document understanding, classification, summarization, and conversational AI.
  • Develop, fine‑tune, and evaluate large language models and transformer‑based architectures for domain‑specific applications.
  • Build and iterate on retrieval‑augmented generation (RAG) systems, embedding pipelines, and vector search infrastructure.
  • Work closely with business and operations stakeholders to scope problems, define evaluation criteria, and validate model outputs against real‑world requirements.
  • Analyze and interpret model behavior, identify failure modes, and develop mitigation strategies to ensure reliable, responsible outputs.
  • Collaborate with ML engineers and platform teams to move experiments into production pipelines.
  • Document experimental methodology, data lineage, and model evaluations to support reproducibility and knowledge sharing.
  • Stay current on developments in NLP research and GenAI tooling, bringing relevant advances into the team’s work quickly.
Requirements

US Citizen or Permanent Resident authorized to work in the United States.

Experience

5-8 years of applied data science experience with a strong focus on natural language processing and text‑based systems.

NLP & GenAI
  • Hands‑on experience with transformer architectures (BERT, GPT, T5, or similar), fine‑tuning workflows, and production deployment of language models.
RAG & Embeddings
  • Direct experience building retrieval‑augmented generation pipelines, vector databases (Pinecone, Weaviate, FAISS, or equivalent), and semantic search systems.
Programming
  • Strong Python skills; proficiency with HuggingFace Transformers, LangChain, or similar GenAI tooling.
Evaluation
  • Experience designing rigorous evaluation frameworks for generative models, including human evaluation, LLM‑as‑judge approaches, and automated benchmarking.
Preferred
  • Experience applying NLP in a professional services, legal, finance, or consulting domain.
  • Familiarity with responsible AI practices, including bias assessment, output auditing, and hallucination mitigation.
  • Background in information extraction, named entity recognition (NER), or document intelligence.
  • Experience with cloud‑based GenAI services (OpenAI API, Anthropic API, AWS Bedrock, Azure OpenAI, or GCP Vertex AI).
  • Graduate degree (MS or PhD) in Computer Science, Computational Linguistics, Statistics, or a related field.
Benefits
  • Family Health Care (54% cost covered for the entire family)
  • Family Dental (54% cost covered for the entire family)
  • Family Vision (54% cost covered for the entire family)
  • Flexible Spending Account
  • Performance bonuses tied to project and delivery milestones
  • Lifetime Event Bonuses (e.g., new child, marriage)
  • Profit‑sharing arrangement for any work brought into the company
  • Unlimited Leave with Approval
  • 401k - 100% employer match on first 4% invested
  • $1,500 annual training and conference budget

Job Type: Full‑time, Permanent Position
Work Authorization: US Citizen or Permanent Resident; no active security clearance required.
Schedule: Monday to Friday
Work Location: Hybrid - Arlington, Virginia

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