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Remote Semantic Web Jobs (NOW HIRING)

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Strong knowledge of OWL/RDF, ontology design, and semantic web standards. * Proven hands-on ...

TopQuadrant

Front-End Developer (Remote)

Raleigh, NC · Remote

$101K - $117K/yr

Experience in Semantic Web Technologies, Linked Data, RDF and SPARQL. * GraphQL Working at TopQuadrant is best exemplified by our values: * Possibility (aka the "Why Not" mentality): We embrace new ...

Booz Allen Hamilton, Inc.

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Experience applying semantic web standards such as RDF, OWL, and SPARQL to knowledge model entities ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Remote Semantic Web information

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$49.5K

$117.9K

$241K

How much do remote semantic web jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote semantic web in the United States is $117,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a remote semantic web?

A Remote Semantic Web job involves working with technologies and standards that enable machines to understand, share, and connect data on the web, all while working from a remote location. Professionals in this field typically use tools such as RDF, OWL, and SPARQL to create and manage linked data, ontologies, and knowledge graphs. These roles are critical in industries that rely on data integration, artificial intelligence, and information retrieval. Working remotely, employees may collaborate with international teams, contribute to open data projects, and help organizations make sense of complex data relationships online.

What are the key skills and qualifications needed to thrive as a remote semantic web specialist?

To thrive as a Remote Semantic Web Specialist, you need a strong background in computer science, web technologies, and semantic web standards such as RDF, OWL, and SPARQL, often supported by a relevant degree. Familiarity with tools like Protégé, ontology editors, and various data integration platforms is typically required. Analytical thinking, problem-solving, and effective remote communication are important soft skills for collaborating with distributed teams and handling complex data challenges. These competencies are crucial for building interoperable web systems and ensuring seamless data sharing across platforms.

What are some typical collaboration methods for a remote semantic web professional working with cross-functional teams?

Remote Semantic Web professionals often rely on digital collaboration tools such as version control systems, shared knowledge bases, and video conferencing platforms to work effectively with developers, data scientists, and project managers. Regular virtual meetings and asynchronous communication are common for discussing ontology design, data integration challenges, and aligning on project goals. Building clear documentation and maintaining open channels for feedback are essential for ensuring that all stakeholders understand the technical aspects and progress of semantic web projects.

What is the difference between Remote Semantic Web vs Remote Data Scientist?

AspectRemote Semantic WebRemote Data Scientist
Required CredentialsKnowledge of semantic web technologies, RDF, OWL, SPARQLStatistics, programming, machine learning certifications
Work EnvironmentCollaborative with web developers, data engineersAnalytical, research-focused, cross-industry
Industry UsageWeb development, knowledge management, AIFinance, healthcare, tech, research
Search & Comparison IntentUnderstanding semantic web roles, skills, toolsData analysis, modeling, predictive analytics

Remote Semantic Web professionals focus on structuring and linking data using semantic technologies, often collaborating with web developers. Data Scientists analyze data to extract insights, using statistical and machine learning skills. While both roles involve data, Semantic Web specialists emphasize web-based data integration, whereas Data Scientists focus on data analysis and modeling across industries.

More about Remote Semantic Web jobs

What cities are hiring for Remote Semantic Web jobs?

Cities with the most Remote Semantic Web job openings:

What are the most commonly searched types of Semantic Web jobs?

The most popular types of Semantic Web jobs are:

What states have the most Remote Semantic Web jobs?

States with the most job openings for Remote Semantic Web jobs include:

What job categories do people searching Remote Semantic Web jobs look for?

The top searched job categories for Remote Semantic Web jobs are:

Remote Semantic Web jobs near you
Infographic showing various Remote Semantic Web job openings in the United States as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,880 per year, or $56.7 per hour.

Principal Data Architect

Menlo Park, CA • Remote

Swift Hire LLC
See more jobs at Swift Hire LLCexternal

Contractor

Posted 5 days ago

Job description

Principal Data Architect

Location: Menlo Park, CA(Remote) 

Position Overview: We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent "nervous system" framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures. Mandatory Technical: • Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). • Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. • Caelum or Amundsen push-events: Alongside DataHub's Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks

Note: 

Target Educational Profiles: • Required: Minimum of 10+ years of enterprise data strategy experience. • Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics. • Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.