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Natural Language Processing Research Assistant Jobs

AIToolboard

$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 ...

Umd

AI Research Assistant

College Park, MD

$19 - $26.25/hr

The AI Research Assistant will assist the AI/Machine Learning lead for DE Bioeffects project in ... Graduate-level study in Computer Science, Natural Language Processing, Machine Learning ...

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Natural Language Processing Research Assistant information

What does a natural language processing research assistant do?

A Natural Language Processing (NLP) Research Assistant supports research projects focused on enabling computers to understand, interpret, and generate human language. Their tasks often include collecting and preprocessing linguistic data, running experiments with machine learning models, and assisting in the analysis and interpretation of results. They may also contribute to writing research papers, literature reviews, and implementing prototype solutions. This role typically requires knowledge of programming, linguistics, and machine learning concepts.

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

To thrive as a Natural Language Processing (NLP) Research Assistant, you need a strong background in computer science, linguistics, and mathematics, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and NLP libraries (like NLTK or spaCy) is essential. Analytical thinking, attention to detail, and effective communication are important soft skills in this role. These skills enable you to contribute to cutting-edge language models and research projects, ensuring accuracy and innovation in NLP solutions.

What are some typical challenges faced by a natural language processing research assistant when working with large datasets?

As a Natural Language Processing (NLP) Research Assistant, you may encounter challenges such as cleaning and preprocessing vast amounts of unstructured text, dealing with noisy or imbalanced data, and ensuring data privacy. Handling computational limitations and optimizing models for efficiency are also common hurdles, especially when training deep learning models on large corpora. Collaborating closely with data engineers and senior researchers is essential to overcome these obstacles and to ensure that data pipelines and experimental results are robust and reproducible.

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

AspectNatural Language Processing Research AssistantData Scientist
Required CredentialsTypically a master's or PhD in computer science, linguistics, or related fieldsOften a bachelor's or master's in data science, statistics, or related areas; advanced degrees preferred
Work EnvironmentAcademic or research labs, tech companies focusing on NLP projectsBusiness, tech companies, or consulting firms analyzing large datasets
Employer & Industry UsageResearch institutions, universities, AI companiesTech firms, finance, healthcare, marketing

While both roles involve data analysis and programming, Natural Language Processing Research Assistants focus on developing NLP models and conducting research, often in academic settings. Data Scientists analyze diverse datasets to derive insights and support business decisions. The roles overlap in technical skills but differ in their primary objectives and work environments.

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

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

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

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

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

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

Infographic showing various Natural Language Processing Research Assistant job openings in the United States as of September 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 100% In-person job distribution.

Artificial Intelligence & Natural Language Processing Research Scientist

Washington, DC • On-site

Howard University
See more jobs at Howard Universityexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Howard University rating

8.1

Company rating: 8.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

172nd of 633 rated colleges and universities

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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