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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 ...

Lehigh University

$56K - $68K/yr

Partial Remote, Bethlehem Categories: Library Metadata Initiatives Librarian - Join Lehigh ... Leverage semantic web concepts and tools to connect University history with current research output.

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 ...

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$49.5K

$117.9K

$241K

How much do remote semantic web jobs pay per year?

As of Jun 5, 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 are the key skills and qualifications needed to thrive as a Remote Semantic Web Specialist, and why are they important?

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 a Remote Semantic Web job?

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 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 May 2026, with employment types broken down into 1% Locum Tenens, 71% Full Time, and 28% Part Time. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution, with an average salary of $117,880 per year, or $56.7 per hour.

Enterprise Solutions Graph Database

H R PUNDITS INC

Collegeville, PA • On-site, Remote

Full-time

Posted 2 days ago

Job description

Job title : Enterprise Solutions Graph Database/ Architect
Location: Upper Providence Township, PA
(Onsite/Remote )
Experience : 15 Years
Role Overview
Seeking a seasoned Graph Database
Knowledge Graph Expert to perform a comprehensive study of our existing platform. Evaluate our current architecture, data ontology, and query performance to provide a strategic roadmap. The goal is to evolve our Knowledge Graph into a robust, scalable engine that accelerates different Pharma areas ( drug discovery, clinical insights, and cross-departmental data democratization)
Required Qualifications
Graph Expertise: 10+ years of experience with Graph Databases. Deep proficiency in LPG (Labeled Property Graphs) or RDF/Triple Stores.
Pharma Domain Knowledge: Proven experience handling biomedical data types (e.g., Gene-Disease associations, Chemical compounds, Patient journeys).
Semantic Web Standards: Strong understanding of Linked Data principles, URI strategies, and ontology modeling.
Data Engineering: Experience with ETL/ELT pipelines that feed graphs from unstructured (PDF publications) and structured (EDC, LIMS) sources.
Advanced Analytics: Experience implementing Graph Data Science algorithms (centrality, community detection) or integrating Graphs with Machine Learning.
Technical Stack Preferences
Graph DBs: AnzoGraph, Neo4j, Stardog,
Languages: Python, Java, SPARQL, Cypher, or Gremlin.
Bio-Ontologies: Familiarity with OBO Foundry, ChEMBL, or Ensembl.