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$9

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$26

How much do internship knowledge graph jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship knowledge graph in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Intern, and why are they important?

To thrive as a Knowledge Graph Intern, you typically need a background in computer science, data science, or a related field, with foundational knowledge in graph theory and semantic web technologies. Familiarity with tools like Neo4j, RDF, SPARQL, and programming languages such as Python or Java is often required. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate on complex data modeling tasks and clearly present insights. These skills enable effective contribution to building, optimizing, and maintaining knowledge graph systems that enhance organizational data understanding.

What types of projects do interns typically work on in a Knowledge Graph internship?

As a Knowledge Graph intern, you can expect to work on projects involving data modeling, entity extraction, and relationship mapping using large data sets. Interns often collaborate closely with data scientists and software engineers to help build, refine, or maintain knowledge graphs that support enterprise search, recommendation systems, or semantic search features. Typical tasks might include analyzing unstructured data, integrating new data sources, and helping to improve the accuracy and scalability of existing graph-based solutions. This hands-on experience offers valuable exposure to both theory and application in the field of knowledge representation.

What is an Internship Knowledge Graph?

An Internship Knowledge Graph is a structured data model that organizes and connects information related to internships, such as companies offering positions, required skills, educational backgrounds, locations, and application deadlines. It uses nodes and relationships to map out how various internship opportunities are related to one another and to relevant entities. This helps students, employers, and educational institutions easily search, analyze, and recommend internships tailored to specific interests and qualifications.

What is the difference between Internship Knowledge Graph vs Data Analyst?

AspectInternship Knowledge GraphData Analyst
Required CredentialsRelevant coursework, basic understanding of knowledge graphsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, research projects, collaborative teamsCorporate or consulting environments, data-driven decision making
Industry UsageEmerging in AI, semantic web, and knowledge management projectsWidely used across finance, marketing, healthcare, and tech sectors
Search & Comparison IntentUnderstanding entry-level roles involving knowledge graphsAnalyzing data to derive insights and support business strategies

The Internship Knowledge Graph role focuses on foundational understanding and research in knowledge graphs, often suitable for students or entry-level candidates. Data Analysts, however, typically have more advanced data handling skills and work across various industries to interpret data for strategic decisions. While both roles involve data concepts, their scope, environment, and experience levels differ significantly.

More about Internship Knowledge Graph jobs
What cities are hiring for Internship Knowledge Graph jobs? Cities with the most Internship Knowledge Graph job openings:
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:
What states have the most Internship Knowledge Graph jobs? States with the most job openings for Internship Knowledge Graph jobs include:
What job categories do people searching Internship Knowledge Graph jobs look for? The top searched job categories for Internship Knowledge Graph jobs are:
Internship Knowledge Graph jobs near you
Infographic showing various Internship Knowledge Graph job openings in the United States as of May 2026, with employment types broken down into 13% Internship, 79% Full Time, 5% Part Time, and 3% Temporary. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.
MISM Data and Metadata Intern

MISM Data and Metadata Intern

UNC-Chapel Hill

Chapel Hill, NC • On-site

$12 - $24/hr

Full-time

Posted 9 days ago

University Of North Carolina At Chapel Hill rating

7.5

Company rating: 7.5 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

262nd of 530 rated colleges and universities

Job description

Posting Information
Department Renaissance Computing Inst - 637100 Career Area Research Professionals Posting Open Date 05/22/2026 Application Deadline 05/27/2026 Position Type Temporary Staff (SHRA) Position Title MISM Data and Metadata Intern Position Number 20076510 Vacancy ID S027506 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule
Monday- Friday, 8:00 AM - 5:00 PM
Position Location North Carolina, US Hiring Range $12.00 - $24.00 per hour Proposed Start Date Estimated Duration of Appointment 6 months not to exceed 11 months
Position Information
Be a Tar Heel!
A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.
One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.
University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events.
Primary Purpose of Organizational Unit
Are you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn't just about solving known problems - it's about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you'll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
Position Summary
RENCI is seeking an intern to support the MISM platform effort by helping identify, collect, and organize metadata about relevant biomedical, infectious disease, immunology, and modeling resources. The intern will gather information about datasets, computational models, and related resources from sources such as the NIAID Data Ecosystem, biomedical model repositories, and ontology-driven standards such as the Biolink Model.
This work will support a proof of concept for constructing a knowledge graph that represents relationships among models, datasets, biological concepts, metadata standards, and ontologies. The resulting knowledge graph will be used to explore integration with CAIRNS semantic search capabilities, with the goal of improving model and data discovery across heterogeneous scientific resources.
The intern will work with the MISM technical team to:
* Identify relevant models, datasets, and metadata sources from NIAID-related resources and other biomedical data/model repositories.
* Gather structured metadata about models and datasets, including title, description, source, domain area, organism, disease area, data type, model type, inputs, outputs, assumptions, dependencies, licensing, provenance, and access information.
* Review existing metadata and ontology standards relevant to biomedical knowledge graphs, including the Biolink Model, which is designed to standardize biological knowledge graph entities and relationships. ([biolink.github.io]1)
* Help define a practical metadata schema for representing models and datasets in the MISM platform.
* Map collected metadata to controlled vocabularies, ontologies, or knowledge graph predicates where appropriate.
* Assist with documenting how datasets, models, concepts, and ontologies relate to one another.
* Contribute to a small proof-of-concept knowledge graph that can be used to test semantic search and discovery workflows.
* Work with RENCI developers and research staff to prepare metadata for integration with CAIRNS semantic search.
By the end of the internship, the intern is expected to contribute to:
* A curated inventory of relevant models, datasets, and biomedical resources.
* A structured metadata spreadsheet, JSON, or similar machine-readable metadata collection.
* A draft metadata schema for MISM model and dataset discovery.
* Notes comparing relevant metadata and ontology standards, including Biolink and other biomedical ontology resources.
* Example mappings between collected metadata fields and knowledge graph concepts.
* Documentation describing how the collected metadata could support knowledge graph construction and semantic search.
* A small proof-of-concept dataset suitable for use in a MISM/CAIRNS semantic search demonstration.
The intern will gain experience with:
* Metadata curation for biomedical models and datasets.
* Ontology-informed data modeling.
* Knowledge graph design for scientific discovery.
* FAIR data and model discovery principles.
* Semantic search workflows.
* Research cyberinfrastructure development in a collaborative software engineering environment.
Minimum Education and Experience Requirements
Demonstrated possession of the competencies necessary to perform the work.
Management Preferences
-Interest in biomedical data, computational modeling, infectious disease, immunology, or translational science.
-Familiarity with metadata standards, ontologies, controlled vocabularies, semantic web concepts, or biomedical data frameworks (e.g., FAIR principles, schema.org, Biolink Model, LinkML).
-Comfort working with structured data formats or graph-based data models, including CSV, JSON, YAML, RDF, or knowledge graphs.
-Ability to read scientific or technical documentation or extract structured information.
-Experience with Python or other data wrangling tools
Special Physical/Mental Requirements Campus Security Authority Responsibilities

Not Applicable.

Special Instructions Quick Link https://unc.peopleadmin.com/postings/319518 Temporary Employment Policies
Temporary Employment Policies
Posting Contact Information
Office of Human Resources Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu
Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.
Equal Opportunity Employer Statement
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

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About University of North Carolina at Chapel Hill

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The University of North Carolina at Chapel Hill (UNC-Chapel Hill), located in Chapel Hill, NC, US, is renowned for being one of the leading research institutes in the world. Operating within the education industry, this public research university offers a broad range of undergraduate, graduate, and professional programs across various disciplines. UNC-Chapel Hill was chartered in 1789 and has maintained its legacy of academic excellence and innovative research for more than two centuries. The institution operates under the core values of excellence, innovation, engagement, accessibility, diversity, and inclusivity. Their mission is to serve the people of North Carolina and the United States by teaching a diverse community of students to become the next generation of leaders.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Chapel Hill, NC, US

Year founded

1789

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