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Remote Ontology Engineer Jobs (NOW HIRING)

... AI engineers to translate knowledge into formal models. - Govern ontology lifecycle, versioning ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

... AI engineers to translate knowledge into formal models. - Govern ontology lifecycle, versioning ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

... AI engineers to translate knowledge into formal models. - Govern ontology lifecycle, versioning ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Travel: Remote with client travel (25-40%); US-based preferred Data Engineering and Pipeline ... Ontology and Data Product Development * Design and maintain ontology models that represent mortgage ...

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... RDF/OWL ontology engineering * SPARQL query development and optimization * Federated query design ...

Forward Deployed Engineer

Los Angeles, CA · Remote

$107K - $146K/yr

Remote: Must reside in or near Los Angeles, CA - Will need to go onsite occassionally Reports to ... Design, implement, and maintain ontology-driven applications within Palantir Foundry supporting ...

Forward Deployed Engineer

Los Angeles, CA · Remote

$107K - $146K/yr

Remote: Mustresidein or nearLos Angeles, CA - Will need to go onsite occassionally Reports to: Echo ... Design and govern enterprise ontology objects, relationships, and business logic supporting ...

Palantir Engineer Location : Nashville, TN (Remote) Duration : Long Term Job Summary: We are ... The ideal candidate will have ands-on expertise in Ontology development, Foundry Workshop, and AIP ...

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Remote Ontology Engineer information

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$25

$53

$76

How much do remote ontology engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote ontology engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a remote ontology engineer?

A Remote Ontology Engineer is a professional who designs, develops, and maintains ontologies—structured frameworks for organizing information—while working from a remote location. They use their expertise in knowledge representation, semantic web technologies, and data modeling to ensure that information systems can interpret and connect data effectively. Their work is crucial in fields like artificial intelligence, data integration, and information retrieval, as they help systems 'understand' relationships between different pieces of data. Remote Ontology Engineers often collaborate with developers, data scientists, and domain experts using online tools and communication platforms.

What is the difference between Remote Ontology Engineer vs Data Scientist?

AspectRemote Ontology EngineerData Scientist
Required CredentialsMaster's in Computer Science, Knowledge Engineering, or related fields; certifications in ontology modelingDegree in Data Science, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentCollaborates with AI, semantic web, and knowledge management teams; often in tech or research industriesWorks with data analysis, modeling, and visualization teams; across various industries including tech, finance, and healthcare
Employer & Industry UsageUsed in AI, semantic web, and knowledge-based systemsApplied in analytics, predictive modeling, and business intelligence

While both roles require technical expertise and involve working with complex data, Remote Ontology Engineers focus on developing and managing ontologies for knowledge representation, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments but serve different core functions.

What are the key skills and qualifications needed to thrive as a remote ontology engineer, and why are they important?

To thrive as a Remote Ontology Engineer, you need a strong background in computer science, knowledge representation, and formal logic, typically supported by a relevant degree and experience in semantic technologies. Familiarity with ontology development tools (such as Protégé), semantic web standards (like OWL and RDF), and querying languages (SPARQL) is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in distributed teams and translate complex domain knowledge into structured ontologies. These skills are crucial for building robust, interoperable knowledge models that support data integration and intelligent applications across industries.

How does a remote ontology engineer typically collaborate with cross-functional teams while working off-site?

As a Remote Ontology Engineer, you will frequently collaborate with data scientists, software developers, and subject matter experts through virtual meetings, shared documentation, and project management tools. Effective communication and proactive documentation are key, as you'll often need to clarify domain concepts and ensure semantic consistency across distributed teams. Many organizations use agile methodologies, so you can expect regular stand-ups and sprint planning sessions to stay aligned on project goals and deliverables. Building strong relationships remotely requires initiative, responsiveness, and a willingness to leverage digital collaboration platforms.
More about Remote Ontology Engineer jobs
What cities are hiring for Remote Ontology Engineer jobs? Cities with the most Remote Ontology Engineer job openings:
What are the most commonly searched types of Ontology Engineer jobs? The most popular types of Ontology Engineer jobs are:
What states have the most Remote Ontology Engineer jobs? States with the most job openings for Remote Ontology Engineer jobs include:
Infographic showing various Remote Ontology Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior Palantir Foundry Ontology Engineer - Navy Audit Artifact Management (Secret Cleared)

Potawatomi Federal Solutions, LLC

Washington, DC • Remote

$118K - $162K/yr

Full-time

Re-posted 28 days ago


Job description

Position Title: Senior Palantir Foundry Ontology Engineer - Navy Audit Artifact Management

Location: National Capital Region (Remote Eligible)

Job Type: Full Time

Level: Senior Engineer/Architect

Clearance: Secret

Job Summary

The Senior Palantir Foundry Ontology Engineer will support development of a Navy audit artifact management and traceability platform within Palantir Foundry. This role will design and implement ontology-driven data models that link audit artifacts, financial controls, requirements, and audit evidence across enterprise systems within Palantir Foundry to support Navy Financial Management Digital Data Transformation (FMDDT) initiatives, audit readiness, artifact traceability, data governance requirements and ontology modeling to ensure traceability of audit artifacts, enhance financial controls, and improve audit readiness. The position collaborates with Navy FM, audit, and technical stakeholders to translate audit requirements into scalable semantic data structures that support audit readiness, traceability, and analytics.

Key Responsibilities

Platform Development & Ontology Design:

  • Design and configure ontology objects within Palantir Foundry to represent audit artifacts, requirements, controls, and supporting documentation.

  • Define relationships between ontology objects to support artifact traceability across audit lifecycle stages.

  • Develop and maintain data pipelines that ingest and transform financial, logistics, and property data sources into the ontology.

  • Configure object views and operational data structures that enable artifact tracking and lifecycle visibility.

  • Collaborate with data engineers and functional stakeholders to ensure ontology structures support audit workflows and reporting requirements.

Audit & Financial Support:

  • Collaborate with Navy financial management stakeholders to translate audit requirements into ontology structures and data models.

  • Support artifact traceability across audit lifecycle stages to strengthen audit response and reporting.

  • Ensure platform outputs support audit response and financial control validation.

Data Governance & Security:

  • Implement role-based access controls (RBAC) and segregation of duties (SoD).

  • Ensure compliance with DoD security, data governance, and IL4/IL5 requirements.

  • Support governance of audit artifact metadata, lineage tracking, and audit data integrity.

Platform Enablement & Stakeholder Engagement:

  • Develop operational applications, analytic views, and reporting structures within Foundry to support audit lifecycle visibility.

  • Prepare technical documentation and provide platform guidance to functional and technical users.

  • Collaborate with engineers and analysts supporting the platform modernization effort.

Qualifications

Education:

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.

Experience:

  • 7+ years of enterprise data engineering, analytics development, or data architecture.

  • 2+ years Palantir Foundry experience or experience working with comparable enterprise data platforms.

  • Experience designing or implementing semantic data models, ontologies, or knowledge graph architectures.

  • Experience with Navy FM, FMDDT, or financial system audit readiness initiatives.

  • Experience supporting audit response, financial management analytics, or compliance-driven systems preferred.

Skills:

  • Strong understanding of ontology modeling and semantic data architecture.

  • Experience with data pipelines, data modeling, and transformation workflows.

  • Familiarity with DevSecOps practices and secure cloud environments.

  • Ability to translate business or audit requirements into technical data models.

  • Strong collaboration skills working across technical and functional teams.

Career Level Alignment:

  • Senior Engineer/Architect: 8+ years supporting enterprise data platforms, semantic data modeling, and data architecture initiatives.

#ClearanceJobs

Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

Employment Type: full-time