ZipRecruiter

Log In

1

Internship Natural Language Processing Jobs in Virginia

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge ...

Orchard

Data Scientist - Mid-Level

Reston, VA · On-site

... Natural Language Processing (NLP) to include new entities and improved visualization. • Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate ...

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

The client requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the client's customers. The client ...

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

The client requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the client's customers. The client ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

previous page

Showing results 41-60

All JobsNatural Language Processing JobsInternship Natural Language Processing JobsInternship Natural Language Processing Jobs in Virginia

Internship Natural Language Processing information

What types of projects can I expect to work on during a Natural Language Processing (NLP) internship?

As an NLP intern, you can expect to work on projects such as building and evaluating language models, developing text classification or sentiment analysis tools, or improving chatbots and search engines. You may also handle tasks like data preprocessing, annotation, and experimenting with state-of-the-art algorithms under the guidance of experienced researchers or engineers. Interns often collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver solutions that address real-world language challenges. This hands-on experience not only builds your technical skills but also provides insight into how NLP is applied in an industry setting.

What are the key skills and qualifications needed to thrive as an Internship Natural Language Processing, and why are they important?

To thrive in a Natural Language Processing (NLP) internship, you generally need a solid background in computer science, mathematics, and linguistics, often supported by coursework or experience in machine learning and programming languages such as Python. Familiarity with NLP frameworks (like NLTK, spaCy, or Hugging Face), version control systems, and tools such as TensorFlow or PyTorch is typically expected. Strong analytical thinking, curiosity, and effective communication help interns stand out when tackling complex language challenges and collaborating with cross-functional teams. These skills are crucial for contributing to innovative NLP projects, understanding nuanced language data, and successfully adapting to evolving technical requirements.

What is the difference between Internship Natural Language Processing vs Data Analyst Intern?

AspectInternship Natural Language ProcessingData Analyst Intern
Required SkillsProgramming (Python), NLP libraries, basic ML conceptsExcel, SQL, data visualization tools
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, marketing sectors
Industry UsageAI, machine learning, NLP projectsData analysis, reporting, business insights
Common Search IntentLearning NLP, AI internshipsData analysis internships, business intelligence

Internship Natural Language Processing focuses on developing skills in NLP techniques, machine learning, and programming, often within tech or research environments. In contrast, Data Analyst Internships emphasize data manipulation, visualization, and reporting skills for business insights. Both roles require analytical skills but differ in technical focus and industry application.

What is an Internship in Natural Language Processing?

An Internship in Natural Language Processing (NLP) is a temporary position, often for students or recent graduates, where you gain hands-on experience working with technologies that enable computers to understand and generate human language. Interns in NLP typically assist with data collection, text analysis, model development, and research projects using machine learning and linguistic techniques. These internships help build foundational skills in programming, data science, and AI, and often require familiarity with languages like Python and libraries such as NLTK or spaCy. Through mentorship and real-world projects, interns learn about the latest advancements in NLP and build a portfolio that prepares them for future roles in AI and computational linguistics.
What are the most commonly searched types of Natural Language Processing jobs in Virginia? The most popular types of Natural Language Processing jobs in Virginia are:
What cities in Virginia are hiring for Internship Natural Language Processing jobs? Cities in Virginia with the most Internship Natural Language Processing job openings:
Internship Natural Language Processing jobs near you
Data Scientist Solution Architect / Data Analyst

Data Scientist Solution Architect / Data Analyst

Collabera

Mclean, VA • On-site

Contractor

Posted 24 days ago

Job description

Company Description

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 


Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence.

Job Description

Location: McLean, VA 22102

Duration: 6+ months (could go beyond)

Description:

The candidate for this position will provide analytical support to the Data Science Division in the Cyber, Cloud and Data Science Service line.

The successful candidate will support the enterprise through designing solutions for data collection, preparation, and model building to develop end-to-end analytic lifecycles to synthesize actionable information. 

The candidate will determine appropriate tools and methods for specific projects to design the analytics solution either as a standalone system, or an analytics embedded inside and overall solution.

The candidate will be working in teams that include enterprise architects, intelligence analysts, data and visualization experts, software developers, and system engineers, and will have an excellent opportunity to broaden skills.

The candidate must have experience in developing and deploying solutions for customers.


Applicant must have skills applicable to one or more of the following areas:

Data wrangling, cleansing, and analytics

The data science process

Presenting work to both technical and non-technical audiences

Statistical evaluation

Machine Learning, Predictive Modeling

Qualifications

Applicant should have skills in one or more of the following areas:

Machine Learning Technologies, such as Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc.

Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc.

R libraries: base, MASS, plyr, rpart, randomForest, maps/mapproj/rworldmap, zoo, adabag, animation, ggplot, igraph, jsonlite, mclust, pROC, hexbin

Python libraries: numpy, scipy, matplotlib, scikit-learn,etc 

SPSS, Oracle Data Miner, SAS Base, DataMiner, Dataflux, STAT

Entity Resolution - Basis Technology Rosette Name Indexer (RNI), Global Name Recognition (GNR), Probabilistic Matching Engine, Trillium Software (TS) Quality

Apache Hadoop 2.x, MapReduce, Elastic Search 1.4.x, Sqoop, Pig

Familiar with Libraries: such as ATS SSO, ATS-common framework, Highchart, jersey, jtidy, one2team, iText, Spring/Spring STS, JSON, Network Markov Clustering, Topic Modeling Tool, Naive Bayes, Apache Commons, Google's Guava, Apache Log4j, Open CSV, SecondString

Working in interdisciplinary teams.

Additional Information

To discuss on this in more detail, Please contact:

Himanshu Prajapat

himanshu.prajapat(at)collabera.com

973-606-3290

Apply