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Remote Ontology Engineer Jobs (NOW HIRING)

My3Tech Inc

Data & AI Platform Engineer

Richmond, VA · Remote

$113K - $136K/yr

Data & AI Platform Engineer Location: Virginia Remote with occasional travel (May be once in a ... Expertise in data integration, ontology modeling, and AI-driven decision intelligence applications.

Concordance Healthcare Solutions

$160K - $200K/yr

... Engineer - Level 2. This position is fully remote. This position will be responsible for ... Ontology and semantic data models. * Foundry applications and user-facing workflows. * Work across ...

Concordance Healthcare Solutions

Expertise in ontology-driven data modeling, data engineering principles, operational pipelines ... This role is located in any Surgence location or fully remote. Compensation: $190,000.00-$250,000 ...

The Brixton Group, Inc.

Palantir Data Engineer

Dallas, TX · Remote

$80 - $100/hr

Duration: 6+ months Compensation: $80-$100/hr Location: 100% REMOTE # of Roles Open: 2 We are ... Proven experience binding UI to Ontology objects * Experience working with Snowflake virtual tables

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How much do remote ontology engineer jobs pay per hour?

As of Jun 8, 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.
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Remote Ontology Engineer jobs near you
Infographic showing various Remote Ontology Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Knowledge Graph Engineer / Ontologist

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 13 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

52nd of 260 rated insurance

Job description

Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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