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Nlp Jobs (NOW HIRING)

AIToolboard

GenAI / NLP Engineer

Chicago, IL · On-site

$96.43 - $151.54/hr

/GenAI / NLP Engineer# GenAI / NLP EngineerPY DATA, INC.Chicago, USContractor## About the RoleGenAI / NLP Engineer MultiAgent AI Platforms (Network Planning)Hybrid Chicago, IL onsite 2 3 days per week ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

Studies incident reports implicating LLMs or NLP algorithms and hypothesize root causes. * Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Conch Technologies Inc

AI/ML NLP Engineer

Phoenix, AZ · On-site

AI/ML NLP Engineer Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a week ) Duration: 12+ Months Contract Required Skills We are seeking experienced Software Engineers with ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real ...

Machinify

Staff Data Scientist | NLP

$180K - $230K/yr

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 ...

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

... NLP processing, and machine learning Qualifications • Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity recognition ...

Doist

$150 - $190/hr

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

IPsoft

NLP R&D Scientist

New York, NY

Company Description As we continue to expand our artificial intelligence platform, Amelia, we are looking for NLP experts to join our development team. We need great scientists who also are great ...

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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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NLP jobs near you
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.

GenAI / NLP Engineer

AIToolboard

Chicago, IL • On-site

$96.43 - $151.54/hr

Other

Posted 4 days ago

Job description

/GenAI / NLP Engineer# GenAI / NLP EngineerPY DATA, INC.Chicago, USContractor## About the RoleGenAI / NLP Engineer MultiAgent AI Platforms (Network Planning)Hybrid Chicago, IL onsite 2 3 days per week (approximately 5 6 days per month minimum)15 months contract +OverviewClient s Network Planning team within the Commercial Systems portfolio is launching a GenAI Enablement Initiative to enhance decision support, insight generation, and usability of planning data and models. This role will support the design and delivery of a scalable, cloud-based multi-agent GenAI platform integrated with client s enterprise AI/ML ecosystem (MARS).The successful candidate will contribute to building a supervisory chatbot and specialized AI agents that deliver insights, diagnostics, workflow guidance, and automated reporting for Network Planning stakeholders. This is a net-new role supporting a growing GenAI capability.Key ResponsibilitiesGenAI Platform & Architecture• Design and build an end-to-end, multi-agent GenAI architecture integrated with client s MARS platform, enterprise GenAI tooling, and existing ML infrastructure.• Develop a supervisory/orchestrator chatbot that routes user requests to specialized downstream agents.• Design modular, extensible AI agents to support evolving business use cases.• Ensure response traceability, accuracy, and adherence to Responsible AI, security, and governance standards.• Collaborate closely with Network Planning, MARS platform, Cloud Engineering, and Security teams.Required Skills & ExperienceMust-Haves• Experience architecting and building GenAI and NLP applications, ideally using multi-agent or agent-orchestrated patterns.• Hands-on experience integrating LLMs and GenAI solutions into production enterprise environments.• Proficiency in Python; Julia experience strongly preferred (or willingness to ramp quickly).• Experience working with existing enterprise AI/ML platforms (non-greenfield builds).• Strong problem-solving skills with the ability to work independently in ambiguous environments.Nice to Have• Background in machine learning or ML-driven applications.• Experience with cloud-based architectures (AWS preferred).• Familiarity with model diagnostics, explainability, or decision-support systems.Soft Skills & Expectations• Highly independent, driven, and proactive.• Strong communication skills, particularly the ability to explain GenAI concepts and outputs to non-technical stakeholders.• For senior candidates: serve as the primary GenAI thought leader, guiding design decisions and mentoring less experienced team members.### Apply for this PositionFill out the form below to apply for this roleLocationChicago, US #J-18808-Ljbffr

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