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Intern Knowledge Graph Jobs (NOW HIRING)

Avathon

Data Scientist Intern

Pleasanton, CA · On-site

$30 - $35/hr

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll ...

Avathon

Data Scientist Intern

Pleasanton, CA

$30 - $35/hr

Our platform is built on a Computational Knowledge Graph foundation that contextualizes and ... As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You'll ...

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How much do intern knowledge graph jobs pay per hour?

As of May 31, 2026, the average hourly pay for intern 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 an Intern in Knowledge Graphs, and why are they important?

To thrive as a Knowledge Graph Intern, you need a strong foundation in computer science fundamentals, data structures, and familiarity with semantic web concepts, often supported by coursework or a related degree in computer science or information science. Experience with technical tools such as SPARQL, RDF, graph databases (like Neo4j), and possibly Python or Java is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and translate complex ideas clearly. These competencies enable interns to contribute meaningfully to knowledge graph projects, ensuring data is structured, connected, and accessible for organizational use.

What types of projects can an Intern Knowledge Graph expect to work on, and how do these projects contribute to larger organizational goals?

As an Intern Knowledge Graph, you can expect to work on projects involving the design, development, and maintenance of knowledge graphs, which help structure and connect data across the organization. Tasks may include data integration, ontology development, and writing queries to extract meaningful insights from large datasets. These projects often support initiatives in artificial intelligence, data analytics, and search optimization, making your contributions valuable to multiple teams. You'll likely collaborate with data scientists, software engineers, and business analysts, gaining exposure to both technical and strategic aspects of knowledge management.

What are Intern Knowledge Graphs?

Intern Knowledge Graphs refer to structured data models that represent the relationships and attributes of information relevant to internship programs, roles, and experiences. These graphs help organizations and educational institutions organize and analyze data about interns, such as their skills, projects, mentors, and learning outcomes. By leveraging knowledge graphs, companies can improve internship matching, track progress, and gain insights into intern performance and program effectiveness. This technology is especially useful in large organizations managing multiple internship opportunities or research projects.

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

AspectIntern Knowledge GraphIntern Data Analyst
Required CredentialsBasic understanding of data structures, some knowledge of graph databasesBasic statistics, Excel, SQL knowledge
Work EnvironmentTech-focused, research-driven, often in AI or data science teamsBusiness or research settings, analyzing datasets and generating reports
Employer & Industry UsageTech companies, AI firms, research institutionsFinance, marketing, healthcare, and other industries

Intern Knowledge Graph roles typically focus on understanding and working with graph databases and data structures, often within tech or research environments. Intern Data Analyst positions involve analyzing datasets, creating reports, and supporting decision-making across various industries. While both roles require foundational data skills, the Intern Knowledge Graph role emphasizes graph database knowledge, whereas the Intern Data Analyst role centers on data analysis and reporting.

More about Intern Knowledge Graph jobs
What cities are hiring for Intern Knowledge Graph jobs? Cities with the most Intern 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 Intern Knowledge Graph jobs? States with the most job openings for Intern Knowledge Graph jobs include:
What job categories do people searching Intern Knowledge Graph jobs look for? The top searched job categories for Intern Knowledge Graph jobs are:
Intern Knowledge Graph jobs near you
Infographic showing various Intern Knowledge Graph job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person 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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