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Semantic Jobs (NOW HIRING)

VeeRteq Solutions Inc.

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Semantic Data Modeler Experience: - Minimum 8+ Years Location: - Chicago, IL (3 days/Week) Semantic Data Modeler is responsible for designing, developing, and managing semantic data models ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic Design and Modeling Practice. In this role, you will be responsible for supporting semantic model ...

Enterprise Knowledge

Semantic Modeler

Arlington, VA · On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic Design and Modeling Practice. In this role, you will be responsible for supporting semantic model ...

Insperity

Senior Semantic Data Architect

Kingwood, TX · On-site

$112K - $152K/yr

We are seeking a talented Senior Semantic Data Architect to join our team SUMMARY: This position is responsible for anchoring the design, development, and governance of the enterprise semantic model ...

Insperity

Senior Semantic Data Architect

Houston, TX

$123K - $168K/yr

We are seeking a talented Senior Semantic Data Architect to join our team SUMMARY: This position is responsible for anchoring the design, development, and governance of the enterprise semantic model ...

1 point system

Semantic Markup Analyst

New York, NY · Remote

We're looking for a Senior Business Analyst to support semantic markup (i.e., evaluating and maintaining our markup standards--and focused in particular on changes we may need to support non-book ...

PSRTEK

Senior Semantic Web Engineer (Hybrid)

Chicago, IL · On-site

$126K - $166K/yr

Position:- Senior Semantic Web Engineer Location:- Chicago, IL (Hybrid) Contract WHAT YOU'LL DO: * Serve as a subject matter expert in semantic web development on our graph data team, contributing to ...

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All JobsSemantic Jobs

Semantic information

See salary details

$55.5K

$118.7K

$173.5K

How much do semantic jobs pay per year?

As of Aug 15, 2026, the average yearly pay for semantic in the United States is $118,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

What are the key skills and qualifications needed to thrive as a semantic analyst, and why are they important?

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.
More about Semantic jobs

What cities are hiring for Semantic jobs?

Cities with the most Semantic job openings:

What are the most commonly searched types of Semantic jobs?

The most popular types of Semantic jobs are:

What states have the most Semantic jobs?

States with the most job openings for Semantic jobs include:

What job categories do people searching Semantic jobs look for?

The top searched job categories for Semantic jobs are:

Semantic jobs near you
Infographic showing various Semantic job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $118,674 per year, or $57.1 per hour.

Semantic Web Engineer

VeeRteq Solutions Inc.

Irving, TX • Remote

Contractor

Posted 22 days ago

Job description

Role: Senior Semantic Web Engineer

Location: Remote USA

Experience:Minimum 5+ Years

We are seeking a  Senior Semantic Web Engineer to join a growing team focused on advanced knowledge graph technologies, semantic web engineering, data modeling, and cloud-based solutions. This role offers an opportunity to work on innovative healthcare data intelligence platforms by leveraging semantic technologies, AI, LLMs, and graph-based architectures.

Responsibilities

Serve as a subject matter expert in semantic web development and knowledge graph engineering.

Collaborate with architects, engineers, and data scientists to design and implement scalable semantic web applications.

Contribute to initiatives involving AI, Large Language Models, knowledge graphs, and advanced graph technologies.

Define and drive technical direction for semantic capabilities, ensuring scalable and robust solutions.

Research, evaluate, and propose innovative approaches to solve complex technical challenges.

Design and build scalable knowledge graph solutions, including data ingestion, linking, integration, and querying.

Develop clean, maintainable, and well-documented code while supporting automation for testing, integration, and deployment.

Partner with product owners and business stakeholders to translate requirements into effective technical solutions.

Evaluate, recommend, and develop taxonomies and ontologies to support business and domain needs.

Implement semantic web tools, platforms, and enterprise graph management solutions.

Support ontology governance processes and semantic data management best practices.

Provide technical mentorship and guidance to junior engineers.

Required Skills

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field.

Minimum 5 years of hands-on experience in Semantic Web Engineering or Knowledge Graph Engineering.

Experience leading or contributing to complex semantic web and graph technology projects.

Hands-on experience with graph databases and triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB.

Strong programming skills in Python.

Knowledge of Java, C#, JavaScript, or Clojure is a plus.

Strong understanding of RDF, OWL, SPARQL, and SHACL.

Experience with relational databases and graph databases.

Strong data modeling and ontology design experience.

Experience working with cloud-based solutions and distributed systems.

Strong analytical, problem-solving, and communication skills.

Preferred Skills

Experience with healthcare data and healthcare analytics platforms.

Knowledge of AI, Large Language Models, and graph-based AI applications.

Experience with enterprise knowledge graph architectures.

Familiarity with semantic data governance and metadata management.

Experience with cloud platforms such as AWS, Azure, or GCP.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.