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

AI/ML Engineer

Boston, MA ยท On-site

$30 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases.

Data Scientist - NYC

Boston, MA ยท On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

AI/ML Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases.

AI/ML Engineer

Boston, MA ยท On-site

$32 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases.

Data Scientist - NYC

Boston, MA ยท On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

AI/ML Engineer

Boston, MA ยท On-site

$35 - $45/hr

Natural Language Processing (NLP) * Computer Vision * Reinforcement Learning (preferred) * Experience with SQL and NoSQL databases. * Knowledge of model deployment frameworks such as Docker ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/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 ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/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 ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/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 ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/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 ...

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

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

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

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

Showing results 41-60

Natural Language Processing information

See Boston, MA salary details

$15

$27

$52

How much do natural language processing jobs pay per hour?

As of Aug 18, 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:

Infographic showing various Natural Language Processing job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $57,587 per year, or $27.7 per hour.

AI/ML Engineer

Winaxis

Boston, MA โ€ข On-site

$30 - $35/hr

Full-time

Re-posted 15 days ago


Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)