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Natural Language Processing Research Jobs (NOW HIRING)

Experienced researcher with publications in areas of machine learning, including natural language processing Deep understanding of cutting edge RL algorithms and large language model. Deep ...

Software Engineer, NLP

Cambridge, MA

$125.10K - $150.30K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Translate NLP research ideas into maintainable, scalable software * Collaborate with an Agile team ...

Conduct cutting-edge research in computer vision, neural policies, or natural language processing to develop adaptive and deterministic robotic behaviors for tasks like inventory scanning or patient ...

Research Intern

$20 - $30/hr

The Research Intern will assist in the curation of medical imaging and clinical report data and the ... and natural language processing of clinical reports * Document code, workflows, analysis ...

... natural language processing and understanding • Design and implement generative modeling solutions for data augmentation • Research and develop graph-aware large language models • Develop and ...

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... focus on code generation or natural language processing (NLP). Familiarity with software ...

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Natural Language Processing Research information

What are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Researcher, and why are they important?

To thrive as a Natural Language Processing Researcher, you need a solid background in computer science, machine learning, linguistics, and typically a graduate degree in a relevant field. Proficiency with programming languages like Python, deep learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, along with experience in publishing academic research. Strong analytical thinking, creativity, and effective communication skills help in developing novel solutions and collaborating within interdisciplinary teams. These skills are vital for advancing the field, solving complex language problems, and driving impactful research outcomes.

What are some typical challenges faced by professionals in Natural Language Processing (NLP) research roles?

NLP researchers often encounter challenges related to the complexity and ambiguity of human language, such as handling sarcasm, idioms, or multilingual datasets. Keeping up with rapid advancements in deep learning architectures and large language models is also a common demand. Additionally, working with large-scale datasets requires robust data cleaning and preprocessing skills, as well as collaboration with cross-functional teams like data engineers and product managers to ensure research findings translate into practical applications.

What is Natural Language Processing (NLP) research?

Natural Language Processing (NLP) research focuses on enabling computers to understand, interpret, and generate human language. Researchers in this field work on developing algorithms and models that help machines process text and speech, such as chatbots, translation systems, and sentiment analysis tools. NLP research combines knowledge from linguistics, computer science, and artificial intelligence to solve complex language-related problems. Common tasks include language modeling, machine translation, and information extraction.

What is the difference between Natural Language Processing Research vs Data Scientist?

AspectNatural Language Processing ResearchData Scientist
Required CredentialsAdvanced degrees in CS, NLP, or AI; research experienceDegree in CS, Statistics, or related; some research experience beneficial
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companies focusing on NLPVarious industries including finance, healthcare, tech, e-commerce
Common Search & Comparison IntentUnderstanding research roles in NLPUnderstanding data analysis and modeling roles

Natural Language Processing Research focuses on developing new algorithms and models to advance NLP technology, often within academic or research settings. Data Scientists analyze data to extract insights, build predictive models, and support business decisions. While both roles require strong analytical skills, NLP Research emphasizes innovation in language models, whereas Data Scientists focus on applying data techniques across various domains.

More about Natural Language Processing Research jobs
Infographic showing various Natural Language Processing Research job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 93% Physical, and 7% Remote job distribution.
Gaynor Research Assistant 2026 (Student Wage)

Gaynor Research Assistant 2026 (Student Wage)

The University of Virginia

Charlottesville, VA • On-site

$20/hr

Part-time

Posted yesterday


University Of Virginia rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

93rd of 530 rated colleges and universities


Job description

Assist with extending an existing spatial model of text-based ideology derived from congressional floor speeches (Congress.gov) and social media posts. More information about the model can be found here: https://sorellewg.com/wp-content/uploads/2025/04/230487_expressyourselfmn_final.pdf

Research assistant should have experience with Python, using bespoke APIs for scraping material, natural language processing, machine learning, and handling big data (especially large collections of textual documents). PyTorch experience is a plus (example of a relevant codebase the RA should ideally be able to understand: https://github.com/keyonvafa/tbip).

Research assistant will need access to at least one high-memory GPU, via either their own machine or UVA's Data Analytics Center. Knowledge or interest in the U.S. Congress a plus. Willing to collaborate on a small team.

Undergrad student wage position for less than 20 hours per week.

Compensation: $20/hr.

MINIMUM REQUIREMENTS

Resume and Cover letter.
Education: Current undergrad UVA student
Experience: Python, using bespoke APIs for scraping material, natural language processing, machine learning and handling large data. PyTorch experience a plus. Access to at least one high-memory GPU, either their own machine or via the UVA Data Analytics Center.
Licensure: None
PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment.


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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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