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$26

How much do internship knowledge graph jobs pay per hour?

As of Aug 21, 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 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 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 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 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.

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What cities are hiring for Internship Knowledge Graph jobs?

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Internship Knowledge Graph jobs near you
Infographic showing various Internship Knowledge Graph job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Bluestaq Graduate Research Scholar - NDSU Partnership

Bluestaq US External

Colorado Springs, CO

$34 - $42/hr

Full-time

Medical

Posted 28 days ago

Job description

Bluestaq Graduate Research Scholar - NDSU Partnership 

Full-Ride M.S./Ph.D. Sponsorship + Paid Summer Internship (Colorado Springs, CO) 

Bluestaq - a Colorado Springs leader in secure data ecosystems, graph technologies, natural language processing, and AI solutions for national security and defense customers, including the U.S. Space Force - is launching a full-ride graduate research sponsorship in partnership with North Dakota State University (NDSU). We are seeking motivated NDSU graduate students to conduct Bluestaq-defined research beginning Fall 2026, culminating in a paid summer internship at Bluestaq headquarters. 

Why This Program Matters 

This sponsorship connects academic research directly to national-security mission impact. As a Bluestaq Graduate Research Scholar, your work will: 

  • Advance real capabilities in LLMs, knowledge graphs, NLP, and agentic AI used by defense and national-security customers. 
  • Build a direct pipeline from sponsored academic research into hands-on delivery at Bluestaq. 
  • Position you as part of a select, founding cohort of scholars at the leading edge of applied AI research. 

What You'll Do 

Fall 2026 Research Project 

  • Conduct Bluestaq-defined research in one or more of the following focus areas: Large Language Models, Data Sourcing & Tagging, Knowledge Graph / Graph Store, Agentic AI, Natural Language Processing, and Prompt Engineering. 
  • Work independently and with NDSU faculty advisors, with research direction and technical alignment provided by Bluestaq. 
  • Bring genuine intellectual curiosity - while projects are Bluestaq-defined, student interest and alignment are valued in shaping the work. 

Summer 2027 Internship - Bluestaq HQ, Colorado Springs, CO 

  • Complete a paid summer internship as a direct continuation of your sponsored research, delivering immediate mission impact. 
  • Receive hands-on mentorship and real-world application experience in a fast-paced defense-tech environment.

Program Benefits 

  • Full tuition, fees, stipend, and health insurance - funded for the complete duration of your M.S. or Ph.D. degree. 
  • Summer internship compensation: 
    • MS students: $28-35/hr ($1,120-$1,400/week at 40 hrs)
    • PhD students: $34-42/hr ($1,360-$1,680/week at 40 hrs)

Qualifications and Requirements 

  • Currently enrolled, or incoming, M.S. or Ph.D. student at North Dakota State University. 
  • Target disciplines: Computer Science; Electrical & Computer Engineering; Industrial & Manufacturing Engineering; Mechanical Engineering; Software & Security Engineering (other aligned fields considered). 
  • Strong academic record and genuine interest in applying AI/data to national-security challenges. 
  • Selected through a joint Bluestaq/NDSU review process; a Bluestaq technical representative serves on the selection committee alongside NDSU faculty. 

Education 

  • Enrollment in (or admission to) an M.S. or Ph.D. program at NDSU in a qualifying discipline is required. 

Clearance Requirement 

U.S. citizenship is required, and candidates must be eligible to obtain and maintain a U.S. security clearance. Supervising faculty must also meet citizenship and clearance requirements, as sponsored work involves Controlled Unclassified Information (CUI) and pre-existing Bluestaq intellectual property. 

Location 

  • Academic-year research is based at NDSU (Fargo, ND); mandatory summer internship placement is on-site at Bluestaq HQ, Colorado Springs, CO. 

Program Timeline 

  • Fall 2026: Research project begins. 
  • Summer 2027: Paid internship at Bluestaq HQ. 

Application deadline: August 31st, 2026

Intellectual Property
This is a standard industry-sponsored research arrangement: Bluestaq retains full ownership of all intellectual property developed under the sponsorship, consistent with students advancing the company's pre-existing IP portfolio. 

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