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Semantic Analysis Jobs (NOW HIRING)

Semantic / Analytics Engineers

Hartford, CT ยท On-site

$98K - $134K/yr

Semantic / Analytics Engineers Location: Minneapolis, MN & Hartford, CT (Onsite) Duration: 6 Months Contract Build and maintain data models and analytics solutions for business reporting. Work with ...

... semantic analysis, and code generation for both C and Swift targets Develop and maintain high-performance runtime libraries that handle secure communication, memory management, and component ...

AI Compiler Engineer

$195K - $265K/yr

Implement parsing, semantic analysis, and IR generation for deep learning frameworks. * Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware ...

AI Compiler Engineer

$195K - $265K/yr

Implement parsing, semantic analysis, and IR generation for deep learning frameworks. * Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware ...

Semantic Modeler

Arlington, VA ยท On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic ... Conduct knowledge asset analysis activities (such as corpus analysis) to gauge model relevancy

Technical Product Manager

Manhattan, NY ยท On-site

$184K - $212K/yr

Own and execute product strategy for Bluefish's text analysis and reporting capabilities - covering ingestion, semantic processing, and availability. * Define product vision and roadmap for how ...

Analyze clinical workflows, business processes, and use cases to identify terminology requirements and develop appropriate semantic solutions. * Participate in data governance and terminology ...

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 ...

Semantic Modeler

Arlington, VA ยท On-site

$120K - $135K/yr

Enterprise Knowledge (EK) is hiring a full-time Semantic Modeler to join our growing Semantic ... Conduct knowledge asset analysis activities (such as corpus analysis) to gauge model relevancy

Semantic Architect

Philadelphia, PA ยท On-site

$160K - $177K/yr

Our offerings span the spectrum of strategy, advanced analytics, planning and technology to ... Semantic Strategy & Design: Lead the architectural design of enterprise Knowledge Graphs, including ...

RDA creates the semantic layer that connects high-quality internal and external ontologies ... Monitor and be attuned to new technology trends relevant for knowledge analysis and insights ...

The Product Manager, Semantic Layer & Ontology owns the product suite that lets us define, build ... Partner across data engineering, analytics engineering, data analytics, and master data management ...

Semantic AI Engineer

North Chicago, IL ยท On-site

$93K - $128K/yr

RDA creates the semantic layer that connects high-quality internal and external ontologies ... Monitor and be attuned to new technology trends relevant for knowledge analysis and insights ...

Semantic AI Engineer

North Chicago, IL ยท On-site

$93K - $128K/yr

RDA creates the semantic layer that connects high-quality internal and external ontologies ... Monitor and be attuned to new technology trends relevant for knowledge analysis and insights ...

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Semantic Analysis information

See salary details

$44.5K

$134.8K

$190.5K

How much do semantic analysis jobs pay per year?

As of Sep 10, 2026, the average yearly pay for semantic analysis in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is the difference between Semantic Analysis vs Natural Language Processing?

AspectSemantic AnalysisNatural Language Processing
Primary FocusUnderstanding meaning and context of textProcessing and analyzing human language data
Skills & ToolsLinguistics, semantics, NLP librariesMachine learning, NLP frameworks, linguistics
Work EnvironmentResearch, linguistics, AI developmentSoftware development, data analysis, AI projects
Industry UsageText comprehension, sentiment analysis, chatbotsSpeech recognition, translation, chatbots

Semantic Analysis is a specialized area within Natural Language Processing focused on understanding the meaning and context of text. While NLP covers a broad range of language tasks, Semantic Analysis dives deeper into interpreting semantics, making it essential for applications like sentiment analysis and chatbot understanding.

What is the work of semantic analysis?

Semantic analysis is a job role that involves understanding and interpreting the meaning of text or speech data using natural language processing (NLP) techniques. It is used to extract insights, categorize content, and improve machine understanding of human language, often requiring skills in linguistics, programming, and data analysis tools.

What other helpful pages are available for Semantic Analysis?

Other pages related to Semantic Analysis:

Infographic showing various Semantic Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Semantic / Analytics Engineers

Hartford, CT โ€ข On-site

$98K - $134K/yr

Other

Posted 6 days ago


Job description

Position Title: Semantic / Analytics Engineers
Location: Minneapolis, MN & Hartford, CT (Onsite)
Duration: 6 Months Contract
Job Description:
Build and maintain data models and analytics solutions for business reporting.
Work with tools like SQL, dbt, and BI platforms to organize and transform data.
Create metrics, dashboards, and reports that help teams make better decisions.
Ensure data is accurate, consistent, and easy to understand.
Work with business and data teams to understand requirements and turn them into analytics solutions.
Improve existing data pipelines, models, and reporting processes.
Help define common business terms and KPIs so everyone uses the same metrics.