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Natural Language Processing Intern Jobs in Boston, MA

... natural language processing, etc. This position reports to the Director of Data Science but collaborates directly with product and engineering groups to support and develop new features and products.

AI/ML Programmer

Lexington, MA · On-site

$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 ...

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 ...

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 ...

AI/ML Programmer

Lexington, MA · On-site

$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 ...

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 ...

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 ...

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.

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Natural Language Processing Intern information

See Boston, MA salary details

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$18

$25

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

As of Aug 22, 2026, the average hourly pay for natural language processing intern in Boston, MA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 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 Boston, MA?

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What job categories do people searching Natural Language Processing Intern jobs in Boston, MA look for?

The top searched job categories for Natural Language Processing Intern jobs in Boston, MA are:

What cities near Boston, MA are hiring for Natural Language Processing Intern jobs?

Cities near Boston, MA with the most Natural Language Processing Intern job openings:

Infographic showing various Natural Language Processing Intern job openings in Boston, MA as of August 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Part Time. Highlights an 83% In-person, 4% Hybrid, and 13% Remote job distribution, with an average salary of $39,105 per year, or $18.8 per hour.

Quantitative Analyst (Putnam)

Franklintempleton

Boston, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.


From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success.


What is the Quantitative Research Team responsible for?

The Quantitative Research Team is seeking an experienced Quantitative Analyst who will focus on enhancing the investment process through data driven insights, portfolio analytics, and tool development. Working alongside portfolio managers and research analysts, the successful candidate will combine superior technical and problem-solving skills with a deep understanding of the securities industry to support idea generation, portfolio construction and risk management processes. The Quantitative Analyst will contribute to external thought leadership by conducting quantitative research that supports client communications, marketing materials, and white papers.

The ideal candidate is a proactive, detail-oriented communicator with strong organizational and analytical skills and a track record of delivering projects end-to-end. You bring advanced programming capabilities and database management expertise, and you're comfortable partnering across teams to turn complex data into actionable insights.

What is the Quantitative Analyst responsible for?

  • Develops and maintains quantitative tools to support fundamental stock selection and portfolio construction
  • Supports portfolio construction decisions through optimization, scenario analysis, and risk-aware frameworks
  • Builds and enhances stock selection models, screening tools, and a factor library to complement fundamental research
  • Analyze alternative and traditional datasets to identify insights relevant to company fundamentals and market behavior
  • Applies natural language processing and machine learning techniques to extract insights from structured and unstructured data to enhance fundamental insights, quantitative signals, and evaluate portfolio positioning.
  • Designs and implements back testing frameworks for portfolio strategies and alpha signals
  • Contributes to product development and new fund launches
  • Works closely with technology teams to operationalize tools and enhance data infrastructure.
  • Conducts quantitative research to support client engagement, including marketing materials, presentations, and white papers.
  • Translates analytical results into clear, compelling narratives for both internal stakeholders and external audiences

What ideal qualifications, skills & experience would help someone to be successful?

  • BS or MS in finance, mathematics, statistics, computing science or similar quantitative field
  • Minimum of 5 years of relevant experience in a quantitative role within asset management
  • Experience supporting fundamental equity teams or working in a hybrid quant/fundamental environment
  • Knowledge of equity factor models and their practical application in portfolios
  • Ability to analyze large datasets and translate outputs into actionable ideas
  • Strong written and verbal communication skills, with the ability to translate quantitative insights into compelling narratives
  • Proficiency in SQL, R and Python strongly preferred
  • Experience applying natural language processing and machine learning methods to investment research
  • In depth knowledge of risk management and optimization techniques
  • Team player; willingness to work hard and contribute to achievement of team goals

Franklin Templeton offers employees a competitive and valuable range of total rewards-monetary and non-monetary - designed to supporttheir well-being and recognize their time, talents, and results.Along with base compensation, employees are eligible for an annual discretionary bonus, a401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options,insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement forcertain educationexpenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program. We expect the base salary for this position to range between $150,000 - $200,000, depending on level of relevant experience, plus discretionary bonus.


At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That's why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.


Highlights of our benefits include:

- Paid Time Off: Three weeks of PTO in your first year

- Health Coverage: Competitive medical, dental, and vision insurance to support your well-being

- Retirement Savings: 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits

- Equity & Investing: Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities

- Learning Education Assistance Program (LEAP): To support your ongoing growth and career advancement

- Employee Investment Benefits: Opportunity to purchase company funds with no sales charge


Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.