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Natural Language Processing Jobs in Rochester, NY

Pwc

AI Engineer

Rochester, NY · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Citadel LLC

Software Engineer - Intern (US)

Rochester, NY · On-site

$234 - $302/hr

You'll have access to state‑of‑the‑art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more. As an intern, you'll get to ...

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Natural Language Processing information

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$13

$25

$47

How much do natural language processing jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for natural language processing in Rochester, NY is $25.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $29.18 per hour, depending on experience, location, and employer.

What is a natural language processing?

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 are the key skills and qualifications needed to thrive in natural language processing, 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?

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 job categories do people searching Natural Language Processing jobs in Rochester, NY look for?

The top searched job categories for Natural Language Processing jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Natural Language Processing jobs?

Cities near Rochester, NY with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 23% Part Time, 1% Temporary, and 7% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $52,280 per year, or $25.1 per hour.

Software Engineer - University Graduate (US)

Citadel LLC

Rochester, NY • On-site

$235 - $300/hr

Other

Medical, Life, Retirement

Posted 20 days ago

Job description

At Citadel, our Software Engineers work in small teams to turn the best ideas into high-performing and resilient technology. With short development cycles, work rapidly goes into production. As an engineer, you can create systems architectures, develop platforms and build web frameworks. You’ll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more.

Your Objectives
  • Create technological tools that bring trading strategies to life
  • Develop high-performance, large data research platforms
  • Work in small teams to build the future of finance
Your Skills & Talents
  • Bachelor's or master's in computer science, engineering or related fields
  • Exceptional programming (C++, Python preferred) and design skills
  • Strong analytical skills and familiarity with probability and statistics
  • Ability to communicate effectively in a collaborative, complex and highly technical team environment
  • Intellectual curiosity and passion for solving challenging problems using technology

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $235,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programs.

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