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Ontology Remote Jobs (NOW HIRING)

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

Data Architect - Active Metadata

$65.25 - $84/hr

Menlo Park, CA (Remote) Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or ... Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL ...

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Ontology Remote information

See salary details

$77K

$112.7K

$122K

How much do ontology remote jobs pay per year?

As of Jun 28, 2026, the average yearly pay for ontology remote in the United States is $112,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $121,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Ontology Remote, and why are they important?

To thrive as an Ontology Remote Specialist, you need a solid background in data modeling, knowledge representation, and semantic technologies, often supported by a degree in computer science, information science, or a related field. Familiarity with tools and standards like OWL, RDF, SPARQL, and ontology development platforms such as Protégé is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate remotely and translate complex concepts for diverse teams. These skills are vital to ensure precise data integration, interoperability, and successful remote teamwork in knowledge-driven organizations.

How does working remotely as an Ontology Specialist impact collaboration and communication with team members?

As a remote Ontology Specialist, you will frequently collaborate with cross-functional teams, such as data engineers, software developers, and subject matter experts, often using digital communication tools like Slack, Zoom, and project management platforms. Clear and proactive communication is essential, as you may work across different time zones and need to document your work thoroughly to ensure alignment. Regular check-ins, virtual meetings, and shared documentation help maintain effective teamwork and ensure that ontology models are developed and integrated smoothly. Adapting to asynchronous communication and being responsive to feedback are common challenges, but they also foster independence and strong organizational skills.

What are ontology remote jobs?

Ontology remote jobs involve working with the design, development, and management of ontologies—structured frameworks for organizing information—while operating from a location outside of a traditional office setting. Professionals in these roles may create data models, standardize vocabularies, and ensure data consistency across systems, often supporting projects in fields like knowledge management, artificial intelligence, healthcare, or libraries. Remote ontology specialists typically collaborate with teams through digital communication tools and may work for tech companies, research organizations, or consulting firms. These positions require strong analytical skills and a background in information science, computer science, or related areas.

What is the difference between Ontology Remote vs Data Analyst?

AspectOntology RemoteData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; knowledge of ontology modelingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with cross-disciplinary teamsRemote or on-site, working with data sets and reporting tools
Industry UsageUsed in AI, semantic web, and knowledge management projectsUsed across finance, healthcare, marketing, and more for data insights

Ontology Remote professionals focus on developing and managing ontologies for AI and knowledge systems, requiring specialized understanding of semantic structures. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles may work remotely and require analytical skills, Ontology Remote emphasizes semantic modeling, whereas Data Analysts focus on data interpretation and reporting.

More about Ontology Remote jobs
What cities are hiring for Ontology Remote jobs? Cities with the most Ontology Remote 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 Ontology Remote jobs? States with the most job openings for Ontology Remote jobs include:
Infographic showing various Ontology Remote job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,707 per year, or $54.2 per hour.
Data Architect - Active Metadata

$65.25 - $84/hr

Other

Posted 5 days ago


Job description

Data Architect

Location: Menlo Park, CA (Remote)

Note: Education M.S./Ph.D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Role Overview: We are seeking a visionary to architect a Self-Healing, Autonomous Data Fabric. You will replace legacy ETL with a "nervous system" where metadata is active, governance is computational, and data sharing is zero-copy.

Mandatory Skills:

  • Active Metadata: Experience building closed-loop automation (e.g., metadata-triggered autonomous schema repair).
  • Semantic Engineering: Mastery of RDF, OWL, and SHACL for ontology-first modeling and SPARQL reasoning.
  • Production-level Open Policy Agent (OPA)/ Policy-as-Code (Zero-Trust) for dynamic, context-aware access control.

Other Technical Skills:

  • Advanced Privacy: Implementation of Homomorphic Encryption (FHE) or SMPC for analytics on encrypted PII.
  • Zero-Copy Architecture: Expertise in Delta Sharing for cross-cloud analytics without egress.
  • Compute: Trino (GraalVM), StarRocks, DuckDB (WASM).
  • Orchestration: Dagster, Airflow (Provider-level).
  • Semantic Layer: Stardog, Apache Jena, GraphQL Federation.
  • System Languages: Rust, Clojure, or Java.