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Remote Semantic Jobs in Connecticut (NOW HIRING)

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... This is a hands-on, technical role that is equally comfortable building a semantic model in Fabric ...

ggi

Commercial Analytics Senior Manager

Brookfield, CT · Remote

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... This is a hands-on, technical role that is equally comfortable building a semantic model in Fabric ...

IQVIA

Associate Director, Data Analytics

Hartford, CT · Remote

Experience delivering governed semantic models and self-service analytics. RFP/orals and client solutioning leadership. This is a remote/WFH opportunity available to candidates currently residing ...

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you ... semantic search * Integrate AI capabilities into enterprise systems via APIs, microservices, and ...

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Remote Semantic information

What are some common challenges faced by professionals working in remote semantic analysis roles, and how can they be addressed?

Professionals in remote semantic analysis roles often encounter challenges such as limited direct communication with colleagues, managing large and complex datasets, and maintaining alignment on project goals. To address these, it's important to proactively engage in regular virtual meetings, utilize collaborative tools for version control and annotation, and establish clear documentation standards. Building strong communication habits and staying updated on the latest semantic technologies can also help remote teams stay efficient and aligned.

What is the difference between Remote Semantic vs Remote Data Analyst?

AspectRemote SemanticRemote Data Analyst
Required CredentialsBachelor's in Linguistics, Computer Science, or related fields; knowledge of semantic technologiesBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or AI companies, remote or hybridData-focused teams, in tech, finance, or healthcare sectors, remote or hybrid
Employer & Industry UsageTech companies, AI startups, NLP projectsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Semantic professionals focus on understanding and applying semantic technologies, often in NLP and AI projects, requiring linguistics or computer science credentials. Remote Data Analysts analyze data sets to inform business decisions, requiring strong statistical skills. While both roles can be remote and work in tech environments, their core skills and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Semantic Analyst, and why are they important?

To thrive as a Remote Semantic Analyst, you need a strong background in linguistics, data analysis, and natural language processing, often supported by a relevant degree. Familiarity with semantic annotation tools, machine learning platforms, and programming languages like Python is commonly required. Attention to detail, critical thinking, and effective remote communication are crucial soft skills in this role. These competencies ensure accurate analysis and interpretation of language data, supporting the development of advanced AI and search technologies.

What are remote semantic jobs?

Remote semantic jobs involve working with the meaning and interpretation of language, often in the context of natural language processing (NLP), artificial intelligence, or data analysis, but performed from a remote location. These roles may include tasks such as semantic annotation, ontology development, or improving search and recommendation systems. Professionals in these jobs typically use linguistic, analytical, and technical skills to help computers better understand human language. Remote semantic jobs are common in tech companies, research institutions, and organizations focused on language technologies.
What are popular job titles related to Remote Semantic jobs in Connecticut? For Remote Semantic jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Semantic jobs in Connecticut look for? The top searched job categories for Remote Semantic jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Semantic jobs? Cities in Connecticut with the most Remote Semantic job openings:
Remote Semantic jobs near you
Knowledge Graph Engineer / Ontologist

Knowledge Graph Engineer / Ontologist

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Posted 10 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

48th of 277 rated insurance

Job description

Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Ontologist (Knowledge Graph Engineer) is responsible for designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations that provide meaning, context, and explainability for AI-driven analytics, agentic systems, and decision automation.
This role ensures that business concepts, entities, relationships, and behaviors are explicitly modeled and consistently applied across data products and AI systems, enabling reuse, trust, reasoning, and scalable AI adoption across Customer, Operations, and Enterprise domains. This role is part of the Customer Data Ecosystem (CDE) and operates at the intersection of business semantics, data architecture, and AI enablement, translating complex domain knowledge into production-ready semantic assets that are consumable by both humans and machines.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.
Primary Job Responsibilities
  • Lead the design and execution of enterprise-scale semantic layers to standardize business meaning and enable trusted analytics, AI, and Agentic use cases.
  • Define and operationalize ontologies, context graphs, and knowledge graphs across domains to power reasoning, explainability, and decision intelligence.
  • Enable semantic-first AI and Agentic analytics, ensuring LLMs and agents can consume governed business context, metrics, and rules.
  • Define canonical semantic vocabularies that standardize meaning across structured and unstructured data sources.
  • Drive production-scale execution of semantic and knowledge platforms with strong standards for performance, governance, security, and lifecycle management.
  • Evangelize Agentic Data Engineering, driving adoption through patterns, playbooks, and real-world deployments across the enterprise.
  • Define and promote standards and best practices for semantic modeling and ontology reuse across delivery teams.
  • Partner with architects and engineers to embed semantic models into data products, AI pipelines, and activation layers.
  • Work closely with AI Data Architects and AI Data Engineers to operationalize ontologies into production systems (e.g., via graphs, metadata services, APIs).
  • Align ontologies with enterprise data governance, lineage, and quality standards.
  • Enable explainability by ensuring AI outputs can be traced back to governed semantic definitions.
  • Serve as the enterprise authority on semantic engineering and ontology practices.
  • Contribute to communities of practice, reference guidance, and internal enablement materials.

Skills & Experience
  • 8-12+ years of hands-on experience in semantic layer architecture, ontology modeling, and knowledge graph design at enterprise scale.
  • Deep, hands-on expertise with RDF, OWL (OWL2), RDFS, SKOS, SPARQL (querying, optimization, semantic analytics), and W3C semantic web standards
  • Proven experience designing and operating knowledge graphs at enterprise scale
  • Hands-on experience with graph or triple-store technologies (e.g., Neo4j, Neptune, TigerGraph, Spanner Graph)
  • Experience integrating knowledge graphs with LLMs, RAG pipelines, vector stores, and Agentic frameworks.
  • Strong understanding of AI consumption patterns, including embeddings, grounding, and explainability
  • Experience integrating semantic layers with data platforms, APIs, metadata systems, and AI pipelines
  • Ability to translate complex domain knowledge into formal, machine-readable semantic structures
  • Strong understanding of context-aware data engineering and semantic interoperability.
  • Proven ability to move from strategy → pilot → scaled enterprise capability.
  • Strong executive influence and thought leadership in Agentic analytics and AI-native data engineering.
  • Hands-on experience with AWS, GCP, and Snowflake
  • Excellent communication, presentation, and leadership skills.

Education, Certifications and Licenses
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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