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Natural Language Processing Jobs in Boston, MA (NOW HIRING)

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical challenges in document analytics field; * Conduct research and development of image processing ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA · On-site

Responsibilities : • Design, program, and architect advanced ML methods. • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. • Publish and ...

NorthEastern

Research Assistant

Boston, MA · On-site

$21 - $28.75/hr

We build natural language processing methods that automatically score research participants' autobiographical memories, quantifying how much and what kind of content people recall (for example ...

STR

Lead Algorithm & Signal Processing Engineer

Woburn, MA · On-site

$157K - $220K/yr

Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network ...

Moderna, Inc.

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

Apply machine learning and natural language processing (NLP) to enhance document processing and understanding in support of regulatory and drug development processes. * Create and deploy AI-powered ...

Moderna Therapeutics

Data Scientist

Cambridge, MA · On-site +1

$121K - $194K/yr

Apply machine learning and natural language processing (NLP) to enhance document processing and understanding in support of regulatory and drug development processes. * Create and deploy AI-powered ...

MIT Lincoln Laboratory

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. * Publish and present research at premier conferences. * Internship Opportunities The AI Technology ...

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Natural Language Processing information

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$15

$27

$52

How much do natural language processing jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for natural language processing in Boston, MA is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $32.12 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 Boston, MA? The most popular types of Natural Language Processing jobs in Boston, MA are:
What are popular job titles related to Natural Language Processing jobs in Boston, MA? For Natural Language Processing jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Boston, MA look for? The top searched job categories for Natural Language Processing jobs in Boston, MA are:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Boston, MA as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $57,561 per year, or $27.7 per hour.
Applied Scientist, Artificial General Intelligence - Data Services

Applied Scientist, Artificial General Intelligence - Data Services

Amazon

Boston, MA • On-site

Full-time

Posted 11 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,015 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.


We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.
Key job responsibilities
Specifically, the Applied Scientist will:
Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
Clean, analyze and select speech/language/other data to achieve goals
Build and test models that elevate the customer experience
Collaborate with colleagues from science, engineering and business backgrounds
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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