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Taxonomy Internship Jobs in Texas (NOW HIRING)

Taxonomy Internship information

What is a taxonomy internship?

A Taxonomy Internship is a temporary position designed to give students or recent graduates hands-on experience in organizing, categorizing, and managing information or data. Interns typically work with taxonomists or information architects to help build and maintain classification systems, such as digital libraries, product catalogs, or scientific databases. The role often involves tasks like tagging, metadata assignment, quality assurance, and researching best practices for information organization. This internship is ideal for those interested in library science, data management, or information systems.

What are the key skills and qualifications needed to thrive as a taxonomy intern?

To thrive as a Taxonomy Intern, you generally need a background in library science, information management, or a related field, with strong analytical and organizational skills. Familiarity with taxonomy management tools, metadata standards, and content management systems is often required. Attention to detail, problem-solving ability, and effective communication are important soft skills for this role. These competencies ensure accurate classification and organization of information, facilitating efficient data retrieval and supporting business or research objectives.

What types of projects can I expect to work on during a taxonomy internship?

As a Taxonomy Intern, you will often be involved in projects such as organizing and categorizing large datasets, developing controlled vocabularies, and mapping metadata across platforms. These tasks are typically collaborative, requiring you to work closely with content strategists, data analysts, and sometimes software developers to ensure information is accurately structured and easily accessible. These projects offer hands-on experience with industry-standard tools and methodologies, helping you develop skills in data management, attention to detail, and cross-functional communication—all of which are valuable for future roles in information science, data management, or digital content strategy.

What is the difference between Taxonomy Internship vs Tax Analyst Internship?

AspectTaxonomy InternshipTax Analyst Internship
Required CredentialsTypically pursuing or recent graduate in biology, environmental science, or related fieldsUsually pursuing or recent graduate in accounting, finance, or related fields
Work EnvironmentResearch labs, environmental agencies, or data management teamsAccounting firms, corporate finance departments, or tax consulting firms
Industry UsageEnvironmental, biological, or data management industriesFinance, accounting, and corporate sectors
Common Search & ComparisonYesYes

The main difference between a Taxonomy Internship and a Tax Analyst Internship lies in their focus areas. Taxonomy internships are centered around biological classification, environmental data, or information organization, often in research or environmental sectors. In contrast, Tax Analyst internships focus on financial data, tax compliance, and accounting processes within finance or corporate environments. Both roles provide valuable industry experience but cater to different academic backgrounds and career paths.

What are the most commonly searched types of Taxonomy jobs in Texas?

The most popular types of Taxonomy jobs in Texas are:

What are popular job titles related to Taxonomy Internship jobs in Texas?

For Taxonomy Internship jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Taxonomy Internship jobs?

Cities in Texas with the most Taxonomy Internship job openings:

Infographic showing various Taxonomy Internship job openings in Texas as of July 2026, with employment types broken down into 2% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

AI and Data Product Analyst

Enterprise Knowledge

Arlington, TX • On-site

$95 - $135/hr

Other

Re-posted 24 days ago


Job description

Enterprise Knowledge (EK) is hiring for a full-time hiring an AI and Data Product Analystto join our team. 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 EK Senior Analyst, 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

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 that you are 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. A range for a starting pay for this role is $95,000 to $135,000 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.

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