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Natural Language Processing Research Intern Jobs

$72K - $92K/yr

Jobs / Senior AI Research Scientist - Natural Language Processing Senior AI Research Scientist - Natural Language Processing Full-time About the Role Our client, a cutting-edge technology firm at the ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... neighbors (natural language processing, deep learning, reinforcement learning, optimization ...

Research Intern

New York, NY · On-site

$300K - $500K/yr

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... neighbors (natural language processing, deep learning, reinforcement learning, optimization ...

Quantitative Research Intern

Chicago, IL · On-site

$250K - $300K/yr

As a Quantitative Research Intern you will have an opportunity to solve challenging problems ... Some exposure to Natural Language Processing and/or High-Performance Computing is a plus

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Natural Language Processing Research Intern information

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How much do natural language processing research intern jobs pay per month?

As of Sep 10, 2026, the average monthly pay for natural language processing research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a natural language processing research intern do?

A Natural Language Processing (NLP) Research Intern assists in developing and improving algorithms that enable computers to understand and process human language. Their responsibilities typically include data collection, preprocessing text data, implementing and testing NLP models, and analyzing results. They often work with machine learning frameworks and collaborate with research teams to contribute to ongoing projects. The role offers valuable hands-on experience in both linguistic analysis and software development in the field of artificial intelligence.

What are the key skills and qualifications needed to thrive as a natural language processing research intern?

To thrive as a Natural Language Processing Research Intern, you need a solid background in computer science, linguistics, and mathematics, often evidenced by progress toward a relevant degree and practical experience with NLP concepts. Familiarity with programming languages such as Python, libraries like PyTorch or TensorFlow, and tools such as NLTK or spaCy is typically required. Strong analytical thinking, creativity, and effective communication skills help you tackle complex problems and share findings with your team. These competencies are vital for developing innovative language models and contributing meaningful research in a fast-evolving field.

What are the most common challenges faced by natural language processing research interns during their internship?

Natural Language Processing (NLP) Research Interns often encounter challenges such as understanding and implementing complex algorithms, managing large and diverse datasets, and keeping up with rapidly evolving research literature. Collaborating with experienced researchers and engineers also requires strong communication skills to articulate ideas and seek feedback effectively. Additionally, interns may need to balance exploratory research with practical deadlines, which can be demanding but is also an excellent opportunity for growth and learning in the field.

What cities are hiring for Natural Language Processing Research Intern jobs?

Cities with the most Natural Language Processing Research Intern job openings:

What states have the most Natural Language Processing Research Intern jobs?

States with the most job openings for Natural Language Processing Research Intern jobs include:

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

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

Infographic showing various Natural Language Processing Research Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 50% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Artificial Intelligence & Natural Language Processing Research Scientist

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Howard University rating

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Company rating: 8.1 out of 10

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Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.
At Howard University, we prioritize well-being and professional growth.
Here is what we offer:
  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!
https://hr.howard.edu/benefits-wellness
JOB PURPOSE:
Employee will spearhead innovative projects, mentor emerging talent, and push the boundaries of technology in areas such as natural language processing and artificial intelligence.
SUPERVISORY AUTHORITY:
None
NATURE AND SCOPE:
Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.
PRINCIPAL ACCOUNTABILITIES:
  • Lead AI research initiatives from conception to implementation.
  • Develop cutting-edge AI systems, tailoring solutions to complex research queries.
  • Analyze research data critically, translating findings into actionable insights.
  • Collaborate across disciplines, integrating diverse expertise into your work.
  • Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.
  • Remain at the forefront of AI/NLP advancements, integrating new technologies and methodologies.
  • Design and validate NLP techniques, contributing to the broader field with innovative solutions.
  • Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.

CORE COMPETENCIES:
  • Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.
  • Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).
  • Exceptional project management, communication, and collaborative skills.
  • Experience in high-performance computing, secure network AI development, and simulation tools.
  • Proficiency in UI/UX development.

MINIMUM REQUIREMENTS:
Bachelor's Degree or higher in Computer Engineering/Science, Engineering, or IT; equivalent experience considered. 5+ years in machine learning and data science; advanced degrees may offset experience requirements. An advanced degree (Postgraduate or Ph.D.) in a relevant field is preferred. A history of designing algorithms in AI/NLP or related fields. Willing and able to travel and obtain/maintain a US Top Secret/SCI level security clearance. U.S. citizenship is required due to federal export control and security compliance requirements.
Compliance Salary Range Disclosure
95,000-105,000

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