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 ...
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 ...
Temp Research Technician
Waltham, MA · On-site
$21.76/hr
Candidates should have native or near-native proficiency in Chinese, strong analytical and linguistic skills, and an interest in computational linguistics, natural language processing, or semantic ...
Temp Research Technician
Waltham, MA · On-site
$21.76/hr
Candidates should have native or near-native proficiency in Chinese, strong analytical and linguistic skills, and an interest in computational linguistics, natural language processing, or semantic ...
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 ...
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 ...
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 ...
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 ...
Machine Learning Engineer II
Cambridge, MA · On-site
$106K - $145K/yr
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
Machine Learning Engineer II
Cambridge, MA · On-site
$106K - $145K/yr
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
Machine Learning Engineer II
$106K - $145K/yr
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
Machine Learning Engineer II
$106K - $145K/yr
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
... natural language processing (NLP) to accelerate clinical trials. 4G Clinical is headquartered in the Boston Biotech corridor of Wellesley, MA, with offices in Europe and Asia. We are seeking a ...
... natural language processing (NLP) to accelerate clinical trials. 4G Clinical is headquartered in the Boston Biotech corridor of Wellesley, MA, with offices in Europe and Asia. We are seeking a ...
Associate AI Engineer
Boston, MA · On-site
Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise ...
Associate AI Engineer
Boston, MA · On-site
Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise ...
Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise ...
Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise ...
Senior Data Scientist
Boston, MA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Boston, MA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply.
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide.
Experience with Natural Language Processing techniques and Large Language Models is highly preferred * Experience working with real-world datasets (RWD) is highly preferred * Experience in ...
Experience with Natural Language Processing techniques and Large Language Models is highly preferred * Experience working with real-world datasets (RWD) is highly preferred * Experience in ...
The successful candidate will play a crucial role in utilizing Generative AI (GenAI), machine learning (ML), and natural language processing (NLP) methodologies to promote data-driven and automated ...
The successful candidate will play a crucial role in utilizing Generative AI (GenAI), machine learning (ML), and natural language processing (NLP) methodologies to promote data-driven and automated ...
AI Engineer
Boston, MA · 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 ...
AI Engineer
Boston, MA · 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 ...
Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate ...
Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate ...
Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. * Publish and present research at premier conferences. The AI Technology and Systems Group is ...
Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics. * Publish and present research at premier conferences. The AI Technology and Systems Group is ...
Natural Language Processing information
See Boston, MA salary details
$15.41 - $18.79
19% of jobs
$19.46 is the 25th percentile. Wages below this are outliers.
$18.79 - $22.16
31% of jobs
$22.16 - $25.53
7% of jobs
$25.53 - $28.90
6% of jobs
$31.22 is the 75th percentile. Wages above this are outliers.
$28.90 - $32.28
17% of jobs
$32.28 - $35.65
8% of jobs
$35.65 - $39.02
2% of jobs
$39.02 - $42.39
2% of jobs
$42.39 - $45.77
6% of jobs
$45.77 - $49.14
1% of jobs
$49.14 - $52.51
0% of jobs
$15
$27
$52
How much do natural language processing jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for natural language processing in Boston, MA is $27.69, 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.
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 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:
$124K - $149K/yr
Full-time
Re-posted 24 days ago
Amazon rating
7.4
Based on 7,093 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, 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, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences.
Key job responsibilities
Specifically, the Language Engineer will:
Design data collection/creation tasks in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Analyze and extract language-related insights from large amounts of data
Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language
Use modeling tools to bootstrap or test new functionalities
Collaborate with scientists and software engineers to evaluate performance of language models
Handle competing requests from a range of data customers
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