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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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Natural Language Processing information

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$13

$24

$45

How much do natural language processing jobs pay per hour?

As of Jul 3, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

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.

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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Connecticut? The most popular types of Natural Language Processing jobs in Connecticut are:
What are popular job titles related to Natural Language Processing jobs in Connecticut? For Natural Language Processing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Connecticut look for? The top searched job categories for Natural Language Processing jobs in Connecticut are:
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
Text Analytics

Text Analytics

TecTammina

Hartford, CT

Full-time

Posted 9 days ago

Job description

Company Description

First IT Solutions

Job Description

Core skillsets include semantic technologies (RDF, OWL), knowledge representation, natural language processing, Text Mining, search algorithm development and development in Java/J2EE/Scala.

Good understanding and implementation of graph analytics and graph algorithm.

Experience with Big Data execution using Hadoop / Horton Works.

Experience with text mining using GATE or UIMA.

Good Knowledge of indices such as Apache Solr, Lucien and Elastic Search will be plus.

Good Knowledge of real time data streaming and offline data streaming.

The ability to conduct cost/benefit analysis

Business case development

Determines if Data Acquisition is needed

Analyzes source data

Modeling techniques and methods

Analytical skills

Experience and desire to work in a Global delivery environment

Qualifications

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 4 years of experience with Information Technology.

At least 3 years of experience as an Analyst involved in text/image processing techniques.

Additional Information

Job Status: Full Time

Eligibility: EAD GC or GC or US Citizen

Share the Profiles to mkonni(at)1stitsolutions(dot)com

Contact: 703 349 1214

Keep the subject line with Job Title and Location

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