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Natural Language Processing Intern Jobs in Massachusetts

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 ...

... natural language Areas of Focus The data science internship is intended to expose the intern to ... development processes and agile/scrum rituals Helping to clarify and prioritize work, define ...

Machine Learning Intern

Boston, MA · On-site

$27 - $42/hr

... natural language Areas of Focus The data science internship is intended to expose the intern to ... development processes and agile/scrum rituals Helping to clarify and prioritize work, define ...

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

... natural language processing, machine learning, reinforcement learning, computational statistics ... Research Scientist Intern, AI Alignment Responsibilities: * Develop novel state-of-the-art ...

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.

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

$88 - $124/hr

Natural Language Processing:** Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise ...

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Natural Language Processing Intern information

See Massachusetts salary details

$9

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How much do natural language processing intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for natural language processing intern in Massachusetts is $18.90, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.01 per hour, depending on experience, location, and employer.

What is a natural language processing intern?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What types of projects or tasks does a natural language processing intern typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What are the key skills and qualifications needed to thrive as a natural language processing intern, and why are they important?

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

Is natural language processing in demand?

Natural Language Processing (NLP) is a rapidly growing field with increasing demand for professionals, including NLP interns, as businesses seek to improve automation, customer service, and data analysis. Skills in machine learning, Python, and NLP tools like spaCy or NLTK enhance employability in this expanding industry.

What are popular job titles related to Natural Language Processing Intern jobs in Massachusetts?

For Natural Language Processing Intern jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing Intern jobs in Massachusetts look for?

The top searched job categories for Natural Language Processing Intern jobs in Massachusetts are:

What cities in Massachusetts are hiring for Natural Language Processing Intern jobs?

Cities in Massachusetts with the most Natural Language Processing Intern job openings:

Infographic showing various Natural Language Processing Intern job openings in Massachusetts as of August 2026, with employment types broken down into 19% Internship, 75% Full Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,311 per year, or $18.9 per hour.

Contracted Student Interns - Coastal Decision Support Fellow Fall 2026 (UNPAID)

Commonwealth of Massachusetts

Falmouth, MA • On-site

Part-time

Posted 16 days ago


Job description

Position Information:

Contracted Student Intern:  Coastal Decision Support Fellow

Start/End Date:  9/21/2026 - 12/4/2026

Salary Rate:  $0.00 (UNPAID Student Internship)

Weekly Hours:  20 hours

Number of Openings:  1 position

Location:  131 Waquoit Highway, Waquoit, MA

Who We Are:

The Executive Office of Energy and Environmental Affairs (EEA) seeks to protect, preserve, and enhance Massachusetts' environmental resources and create a clean energy future for all residents. Through the stewardship of open spaces, the protection of environmental resources, and the advancement of clean energy, EEA works tirelessly to make Massachusetts a wonderful place to live, work, and raise a family. Our commitment to environmental justice ensures that every resident, regardless of background or location, can live in a safe, clean environment and shares equally in the benefits of the clean energy transition.

Who We Are as an Employer:

At EEA, we create meaningful, inclusive opportunities that empower our employees to make a real difference in shaping the environmental future of Massachusetts. We foster a workplace culture where diversity is valued, innovation is encouraged, and collaboration thrives. Our employees play a vital role in advancing sustainability, environmental justice, and clean energy solutions, ensuring a positive and lasting impact on Massachusetts and its residents. 

The Massachusetts Department of Conservation and Recreation (DCR) oversees nearly half a million acres of land, making up one of the largest and most diverse state park systems in the country. Our work focuses on nurturing the vital connection between people and the environment by protecting, promoting, and enhancing our common wealth of natural, cultural, and recreational resources for the well-being of all. DCR infrastructure connects people to and through the beautiful landscapes and accessible recreational facilities we care for - strengthening our communities and driving our economy. Our staff strive to build a healthier, more resilient Massachusetts where all residents and visitors can relax, reflect and feel a sense of belonging in our open spaces and public lands. To learn more about DCR, our facilities, and our programs, please visit www.mass.gov/dcr or contact us at mass.parks@mass.gov. 

Job Opening:

The Department of Conservation and Recreation, seeks applicants for a Coastal Decision Support Fellow (Contracted Student Interns Unpaid), 2026 Fall Semester to perform the duties listed below. 

Please submit a cover letter and resume as part of the application process. 

This internship is unpaid and designed to support students or recent graduates seeking practical experience in the field. Interns may be eligible to earn academic credit through their college or university.

General Statement of Duties and Job Responsibilities:

  • Use artificial intelligence to uncover the issues shaping conservation decisions across Massachusetts communities. The intern will use AI and natural language processing tools to review Conservation Commission and Natural Resource Board meeting minutes, identify recurring topics and emerging issues, and track how those issues progress over time (e.g., approvals, denials, continued discussions, or project outcomes). The resulting analysis will serve as a needs assessment to inform future training, technical assistance, and engagement programs for local decision-makers across Massachusetts coastal communities.

Detailed Statement of Duties and Responsibilities:

  • Use AI and natural language processing tools to analyze Conservation Commission and Natural Resource Board meeting minutes from Massachusetts communities. Develop a framework to identify and categorize recurring topics, emerging issues, and decision-making trends across meetings. Track the progression and outcomes of key topics over time to understand their "fate" (e.g., approved, denied, modified, continued, or withdrawn). Summarize findings through reports, visualizations, and dashboards that highlight statewide and regional patterns. Collaborate with the Training & Engagement Program to translate findings into a needs assessment that informs future trainings, technical assistance, and engagement initiatives. Document AI workflows, prompts, and methodologies to create a repeatable process for future analyses.

Preferred Skills:

  • Interest in applying AI and large language models to real-world environmental and public policy challenges.

  • Interest in qualitative research methods and social science approaches for understanding decision-making and governance. 

  • Experience with or coursework in qualitative data analysis preferred. Experience with AI tools (e.g., ChatGPT, Claude, Gemini, or similar) and willingness to experiment with prompt engineering and workflow development.

  • Strong analytical and organizational skills with attention to detail. 

  • Ability to synthesize large volumes of text into clear themes, trends, and actionable insights.

  • Familiarity with municipal government, environmental permitting, or natural resource management is a plus.

  • Strong written communication skills and ability to present findings in reports and visual summaries.

First consideration will be given to those applicants that apply within the first 14 days.

Please see Preferred Qualifications.

Comprehensive Benefits

When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future.

Want the specifics? Explore our Employee Benefits and Rewards!

An Equal Opportunity / Affirmative Action Employer.  Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.

The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law.  Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements.  We encourage individuals who believe they have the skills necessary to thrive to apply for this role.