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Natural Language Processing Jobs in Connecticut (NOW HIRING)

TecTammina

Text Analytics

Hartford, CT

Company Description First IT Solutions Core skillsets include semantic technologies (RDF, OWL), knowledge representation, natural language processing, Text Mining, search algorithm development and ...

TecTammina

Business Data Analyst

Hartford, CT

Company Description First IT Solutions Core skillsets include semantic technologies (RDF, OWL), knowledge representation, natural language processing, Text Mining, search algorithm development and ...

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$13

$24

$45

How much do natural language processing jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for natural language processing in Connecticut is $24.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $28.12 per hour, depending on experience, location, and employer.

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

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP 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.
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What cities in Connecticut are hiring for Natural Language Processing jobs? Cities in Connecticut with the most Natural Language Processing job openings:
Natural Language Processing jobs near you

Principal Data Scientist

Reputation Institute, Inc

Ridgefield, CT

Full-time

Posted 2 days ago

Job description

Principal Data Scientist (Ridgefield, CT): Design, develop, and deploy advanced artificial intelligence (AI) systems with a focus on agentic AI. Design AI models capable of taking actions, making decisions, and autonomously completing tasks based on goals and contextual information. Apply AI technologies to brand and reputation applications, helping organizations analyze public sentiment, detect emerging risks, and support strategic communication decisions. Perform advanced Large Language Model (LLM) development and adaptation. Work with brand and reputation analytics. Perform machine learning engineering. Work with cloud?native deployment. Work with Natural Language Processing (NLP). Telecommuting is permitted. Req's Ph.D. plus 2 yrs exp. To apply, email resume to jutubor@reptrak.com or mail resume to Reputation Institute, Inc., Attn: Joy Utubor, 31 Milk Street, #960969, Boston, MA 02196. Must Ref# MP10112139CT. No phone calls.

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