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Internship Ontology Jobs (NOW HIRING)

Phenom People Pvt Ltd

Associate Data Engineer

Ambler, PA · Hybrid

$70K - $90K/yr

Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs). * Completed coursework, internships, or personal projects related to data engineering or data ...

Octagon Talent

AI Engineer

Austin, TX

$220K - $270K/yr

Context systems grounded in real operations: * industrial ontology / knowledge graph mapping plants ... internships can count toward total experience * Full-stack engineering capability; comfortable ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

Provide data analytics support including designing automated approaches for ontology and graph ... Lead the Rising Tide program and Mentor interns. Coordinate with IT developers and (content ...

RELX Group plc

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

Provide data analytics support including designing automated approaches for ontology and graph ... Lead the Rising Tide program and Mentor interns. Coordinate with IT developers and (content ...

Wingbrace

System Engineer (MBSE)

Lincoln, MA · On-site

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

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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 Jul 16, 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.

How do interns specializing in ontology 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 are the key skills and qualifications needed to thrive as an Ontology Intern, and why are they important?

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.

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 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:
What job categories do people searching Internship Ontology jobs look for? The top searched job categories for Internship Ontology jobs are:
Internship Ontology jobs near you
Infographic showing various Internship Ontology job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Associate Data Engineer

Phenom People Pvt Ltd

Ambler, PA • Hybrid

$70K - $90K/yr

Full-time

Re-posted 4 days ago

Job description

Job Requirements

Our purpose is to help a billion people find the right job! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,600 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal!


We are looking for a passionate and driven associate engineer to join our data engineering team to support the extension of our data pipelines for ontology-based use cases. This is an excellent opportunity for a recent graduate to work on real-world data integration challenges and gain hands-on experience with modern data technologies and semantic data modeling.


As an Associate Data Engineer, you will work closely with experienced engineers to develop data ingestion pipelines, transform datasets for semantic alignment, and support intelligent data products that power personalization, analytics, and AI use cases.


Please note: This is a full-time, hybrid position located at the headquarters in Ambler, PA, requiring three (3) days per week in-office. Candidates must currently reside within a fifty (50) mile radius of Ambler, PA. At this time, the Company will not sponsor, transfer, or extend employment-based visas for this position, including but not limited to H-1B, TN, or F-1 OPT.


What You'll Do

  • Design, develop, and maintain scalable data pipelines to ingest and enrich new data sources.
  • Implement data transformations and mappings to align raw data with enterprise ontologies and taxonomies.
  • Collaborate with ontology specialists, data scientists, and application teams to understand semantic requirements.
  • Develop frameworks for metadata tagging, entity resolution, and relationship extraction.
  • Ensure data quality, observability, and reliability in extended pipelines.
  • Optimize data workflows for low-latency and real-time use cases where applicable.
  • Support deployment of use cases such as semantic search, skill inference, and personalized recommendations.

Requirements

  • Degree in Data Science, Computer Science, Information Systems or related fields.
  • Strong logical reasoning, problem-solving, and analytical thinking skills.
  • Curiosity and interest in building a career in data engineering.
  • Exposure to at least one programming language (preferably Python or Java).
  • Good knowledge of databases and SQL.
  • Interest in data modeling, pipelines, or semantic technologies (ontology, taxonomies, knowledge graphs).
  • Completed coursework, internships, or personal projects related to data engineering or data science would be an asset(s).
  • Familiarity with tools like Airflow, Spark, or any data integration platforms would be an asset(s).
  • Exposure to graph databases or semantic web concepts would be an asset(s).

Salary

  • Expected salary range $70,000 - $90,000

Please note the Salary range is subject to change in the future in accordance with Phenom's policies


Benefits

  • We want you to be your best self and to pursue your passions!
  • Health and wellness benefits/programs to support holistic employee health
  • Flexible hours and working schedules, as well as parental leave for new parents
  • Growing organization with career pathing and development opportunities
  • Tons of perks and extras in every location for all Phenoms!

#LI-SN1


Employment Type: FULL_TIME

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