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Semantic Jobs (NOW HIRING)

Nestle

Expert Data Product (Semantic Layer)

Arlington, VA · On-site

$140K - $200K/yr

  • Medical

  • Retirement

Enable semantic structures that support explainability, reuse, and high-performance access for analytics, ML pipelines, and GenAI applications * Drive training, documentation, and adoption of ...

Cotality

Senior Product Manager (Semantic Platform)

Irvine, CA

$135K - $179K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Product Manager (Semantic Platform) is responsible for defining and evolving an internal platform that enables Cotality to capture, catalog, and evaluate enterprise semantic context. This ...

New

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

CSAA

  • Retirement

Job Title Sr. Manager, AI Lead - Semantic Layer - Remote Requisition Number R7755 Sr. Manager, AI Lead - Semantic Layer - Remote (Open) Location California - Home Teleworkers Additional Locations ...

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Showing results 21-40

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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?

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What job categories do people searching Semantic jobs look for?

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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.

Knowledge Graph Engineer/Semantic Web Engineer

Magicforce

Chicago, IL • On-site

$60 - $70/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking a skilled and motivated Senior Semantic Web Engineer to join our team. In this role, you will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. You will collaborate closely with a team of scientists, developers, and architects to design and implement scalable semantic web applications that support healthcare data intelligence. This is an excellent opportunity for someone with strong engineering skills and a passion for applying semantic technologies to real-world challenges in a dynamic and fast-growing environment. 

WHAT YOU’LL DO:

  • Serve as a subject matter expert in semantic web development on our graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies. 
  • Collaborate with the Staff Semantic Engineer and other senior engineers to standardize tooling, design patterns, and modeling approaches. 
  • Help define the technical direction for core semantic capabilities, ensuring scalable and robust solutions. 
  • Independently research, evaluate, and propose innovative solutions to complex and ambiguous technical challenges. 
  • Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. 
  • Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes. 
  • Partner with product owners to refine features into actionable user stories that deliver business value. 
  • Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support our domain. 
  • Recommend and implement semantic web tools, platforms, and technologies. 
  • Support ontology governance processes and enterprise graph management tools. 
  • Collaborate with stakeholders, including data scientists, engineers, and developers, to understand requirements and build effective semantic solutions. 
  • Provide technical mentorship to junior team members on semantic web principles and implementation patterns. 

WHAT YOU’LL NEED:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field
  • 5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects. 
  • Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB. (Amazon Neptune preferred) 
  • Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.
  • Practical experience with RDF, OWL, SPARQL, and ideally SHACL. 
  • Experience with relational databases (SQL) and graph databases (SPARQL). 
  • Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory. (Metaphactory preferred) 
  • Solid understanding of data modeling, ETL processes, and data governance. 
  • Experience with cloud platforms (AWS preferred) and their data services.
  • Understanding of AI/ML concepts and how semantic data can enhance AI applications.
  • Familiarity with CI/CD, agile practices, and infrastructure tools like Git, Jenkins, Azure DevOps, and Terraform.
  • Strong communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10