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Internship Ontology Jobs (NOW HIRING)

Developing and driving model taxonomy and ontology consensus with stakeholders * Estimating ... internships and project-related experience * Must have Experience in Model Based Systems ...

Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ... Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and ...

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Internship Ontology information

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$6

$16

$23

How much do internship ontology jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship ontology in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship ontology?

An Internship Ontology is a structured framework or model that defines and categorizes the key concepts, roles, relationships, and attributes related to internships. It helps organize and standardize information about internships, making it easier to share, search, and analyze data across different platforms or institutions. Such ontologies are often used in academic, HR, or technology settings to improve internship management, matching, and reporting processes.

What are the key skills and qualifications needed to thrive as an ontology intern?

To thrive as an Ontology Intern, you generally need a background in computer science, information science, or a related field, with foundational knowledge in data modeling and semantics. Familiarity with ontology development tools (such as Protégé), languages like OWL or RDF, and possibly some exposure to SPARQL or related query systems is typical. Strong analytical thinking, attention to detail, and effective collaboration skills help an intern excel when working with complex data structures and interdisciplinary teams. These competencies are essential for accurately structuring information, ensuring data interoperability, and contributing to knowledge management projects.

How do ontology interns typically collaborate with data scientists and software engineers during their internship?

Interns working in ontology often work closely with data scientists and software engineers to ensure that data models and semantic structures align with project requirements. They may be responsible for designing or updating ontologies, annotating datasets, and helping integrate semantic frameworks into existing systems. Regular meetings and collaborative coding sessions are common, providing interns with opportunities to gain feedback and learn industry best practices. This cross-functional collaboration helps interns develop a holistic understanding of how ontologies support broader data management and AI initiatives.

What is the difference between Internship Ontology vs Data Analyst?

AspectInternship OntologyData Analyst
Required CredentialsTypically pursuing or holding a degree in information science, computer science, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentResearch, academic, or industry-specific projects; often in a learning or developmental settingBusiness environments, tech companies, or consulting firms; focus on data interpretation and reporting
Employer & Industry UsageUsed by educational institutions, research organizations, and companies developing ontologies or knowledge basesEmployers across finance, healthcare, marketing, and tech sectors analyzing data for decision-making

Internship Ontology focuses on structuring knowledge about internships, often in academic or research contexts, while Data Analysts interpret and analyze data to support business decisions. Both roles require analytical skills but differ in scope and application.

More about Internship Ontology jobs

What cities are hiring for Internship Ontology jobs?

Cities with the most Internship Ontology job openings:

What are the most commonly searched types of Ontology jobs?

The most popular types of Ontology jobs are:

What states have the most Internship Ontology jobs?

States with the most job openings for Internship Ontology jobs include:

Infographic showing various Internship Ontology job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

AI and Data Product Analyst

Enterprise Knowledge

Arlington, VA • On-site

$95K - $120K/yr

Full-time

Re-posted 22 days ago


Job description

Enterprise Knowledge (EK) is hiring a full-time AI and Data Product Analyst to join our growing Semantic Engineering and AI Practice. In this role, you will help our clients organize their enterprise data to make it ready for next-generation AI solutions. While experience with semantic technologies (taxonomies, ontologies, metadata) is a major plus, it is not required—we are looking for a sharp, analytical thinker with 2–5 years of experience who is eager to learn how data structure powers modern AI. You’ll work with Fortune 500 and global clients to develop strategies, guide implementation, and apply agile principles to translate business needs into clear, actionable plans.

As with all of our positions, we seek independent thinkers with exceptional written and oral communication skills. This position demands a deep understanding of business strategy and development, experience with knowledge & data management technology solutions, business analysis, and consulting skills.

As an EKer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.

Responsibilities will include:
  • Support the design and implementation of enterprise knowledge, data management, and AI solutions
  • Assist in gathering and analyzing client requirements, business processes, and system landscapes
  • Contribute to the development of solution recommendations, documentation, and deliverables
  • Support workshops, stakeholder interviews, and working sessions to help define client needs and project goals
  • Assist in interpreting and documenting semantic models, taxonomies, ontologies, and related solutions
  • Collaborate with cross-functional teams to support project milestones and deliverables in an agile environment
  • Develop client-facing materials including presentations, reports, and training documentation
  • Participate in client meetings and internal discussions, contributing insights and taking detailed notes
  • Support testing, implementation, and validation of solutions to ensure alignment with client requirements
  • Contribute to internal initiatives, knowledge sharing, and practice development efforts
  • Continuously develop consulting, communication, and technical skills

Requirements

As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.

This hybrid role requires that you live within a comfortable, commutable distance of our Arlington, VA office and be willing to be on-site 3 days a week.

Required Skills and Experience:
  • 2 - 5 years of relevant experience (internships, academic projects, or early professional experience in consulting, data, or technology environments)
  • Bachelor’s degree in a relevant field (e.g., Information Science, Data Analytics, Business, Computer Science, or similar)
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work both independently and collaboratively in a fast-paced environment
  • Strong attention to detail and organizational skills
  • Interest in knowledge management, data, AI, and semantic technologies
Preferred Skills and Experience:
  • Exposure to knowledge management, data management, or semantic technologies (through coursework, internships, or projects)
  • Familiarity with tools such as Excel, PowerPoint, JIRA, Confluence, or similar collaboration tools
  • Experience supporting research, data analysis, or business analysis efforts
  • Basic understanding of agile methodologies
  • Experience with taxonomy, ontology, or metadata concepts (academic or practical)
  • Interest in consulting, facilitation, or client-facing work
Salary Information:

EK considers a broad range of factors in considering employee salary, including a candidate’s skills, experience, education, certifications, past successes, and qualifications. The salary range for this role is $95,000 to $120,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications.

Data Privacy Notice:

Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.

We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice. 

You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.

By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com.