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Internship Ontology Jobs (NOW HIRING)

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 ...

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 ...

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

... 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 ...

Showing results 21-35

Internship Ontology information

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$6

$16

$23

How much do internship ontology jobs pay per hour?

As of Aug 11, 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 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 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.

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

Data Scientist - Palantir Developer

Kla

Phoenix, AZ • On-site

$110K - $187K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking a highly motivated Data Scientist with hands-on experience developing solutions in Palantir Foundry. This role is ideal for someone with 2+ years of direct Foundry development experience and no more than 5 years of total professional experience in analytics, data science, or data engineering.

The successful candidate will work directly with business stakeholders to understand operational challenges, gather requirements, translate business processes into Foundry solutions, and develop scalable analytics, applications, and AI-enabled workflows. This individual must be comfortable working independently, driving discussions with business partners, and delivering solutions from concept to deployment.

  • Partner directly with business stakeholders to gather, document, and refine business requirements.

  • Translate business processes and operational needs into scalable Palantir Foundry solutions.

  • Design and develop Foundry-native applications using Workshop, enabling business users to interact with data, workflows, and operational processes.

  • Develop and maintain Foundry pipelines, Ontology objects, Code Repositories, Workshop applications, and operational workflows.

  • Build analytical models, dashboards, and data products that enable business decision-making.

  • Support AI and machine learning use cases within the Foundry ecosystem.

  • Collaborate with cross-functional teams including business users, IT, data engineers, and other Foundry developers.

  • Perform data validation, troubleshooting, testing, and root cause analysis.

  • Drive projects independently while effectively managing stakeholder expectations and timelines.

  • Create and maintain technical and functional documentation.

  • Promote best practices for data governance, solution design, and Foundry development.

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field.

  • 2+ years of hands-on Palantir Foundry development experience.

  • Maximum 5 years of total professional experience in Data Analytics, Data Science, Data Engineering, or related fields.

  • Experience building data pipelines, transformations, and operational applications in Foundry.

  • Strong SQL skills and experience working with large datasets.

  • Experience using Python for data analysis, automation, or machine learning.

  • Strong understanding of data modeling and business process transformation.

  • Demonstrated ability to work independently with business stakeholders.

  • Excellent communication, facilitation, and requirements gathering skills.

  • Ability to convert ambiguous business problems into technical solutions.

Base Pay Range: $110,000.00 - $187,000.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.