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Intern Knowledge Graph Jobs in Colorado (NOW HIRING)

$52K - $108K/yr

Experience with machine learning, data mining, statistics, or graph algorithms in academic or ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

$53K - $108K/yr

Experience with machine learning, data mining, statistics, or graph algorithms in an academic or ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

New

Intern Knowledge Graph information

What is an intern knowledge graph?

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 skills and qualifications are needed to thrive as an intern in knowledge graphs?

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 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.

What are the most commonly searched types of Knowledge Graph jobs in Colorado?

The most popular types of Knowledge Graph jobs in Colorado are:

What cities in Colorado are hiring for Intern Knowledge Graph jobs?

Cities in Colorado with the most Intern Knowledge Graph job openings:

Bluestaq Graduate Research Scholar - NDSU Partnership

Bluestaq US External

Colorado Springs, CO

$34 - $42/hr

Full-time

Medical

Re-posted 16 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.Â