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Remote Semantic Jobs in Connecticut (NOW HIRING)

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Build semantic models, ontologies, and enterprise knowledge graphs. * Design and implement ...

Solutions Architect- Databricks

Hartford, CT · On-site +1

$170K - $200K/yr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Build semantic models, ontologies, and enterprise knowledge graphs. * Design and implement ...

Solutions Architect- Databricks

Hartford, CT · Remote

$63.50 - $83.75/hr

This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you ... Build semantic models, ontologies, and enterprise knowledge graphs. * Design and implement ...

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 ...

Hartford, CT REMOTE 6- Months contract to hire US or GC Only GC or Citizens only On a side note ... Preferred experience with knowledge graphs and semantic reasoning. * Preferred experience with ...

Hartford, CT REMOTE 6- Months contract to hire US or GC Only GC or Citizens only On a side note ... Preferred experience with knowledge graphs and semantic reasoning. * Preferred experience with ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies. * Proficiency in ...

Principal AI Engineer

Hartford, CT · On-site +1

$168K - $252K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with HPCs, vector embedding, and Hybrid/Semantic search technologies. * Proficiency in ...

Oversee KPI definitions, semantic models, business rules, and reporting requirements. * Monitor ... Open to remote if not aligned to office location with a strong preference for East Coast. If you ...

Remote Semantic information

What is a remote semantic job?

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 the key skills and qualifications needed to thrive as a remote semantic analyst?

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 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 popular job titles related to Remote Semantic jobs in Connecticut?

For Remote Semantic jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Semantic jobs?

Cities in Connecticut with the most Remote Semantic job openings:

Infographic showing various Remote Semantic job openings in Connecticut as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution.

Solutions Architect- Databricks

Simplex

Hartford, CT • Remote

$170K - $200K/yr

Full-time

Posted 4 days ago


Job description

Our client is a fast-growing data analytics and AI startup. This is a remote position based anywhere in the US, preferably in the Eastern Time Zone, as you will be working with a major Defense company based in Connecticut.  

We seek a dynamic and detail-oriented Solutions Architect to join the team and play a crucial role in helping clients successfully deploy and integrate our enterprise software solutions. As a Solutions Architect, you will lead customer workshops, work with enterprise data platforms, and learn semantic technologies.

You will work closely with clients to understand their unique business needs, provide expert guidance, and ensure a smooth and seamless solution. You will be responsible for configuring and customizing the software, conducting training sessions, troubleshooting issues, and collaborating with cross-functional teams to deliver exceptional service and ensure client satisfaction. This role is ideal for individuals who thrive in a client-facing environment and enjoy problem-solving while delivering impactful results in a fast-paced, collaborative setting. 

Responsibilities include:

  • Client Relationship Management: Build and maintain strong, long-lasting client relationships, ensuring ongoing satisfaction and identifying opportunities for upsell or additional services. 
  • Deploy and configure the products within enterprise customer environments.
  • Build semantic models, ontologies, and enterprise knowledge graphs.
  • Design and implement integrations with Databricks and enterprise data platforms.
  • Work closely with customer teams to understand business requirements and translate them into technical solutions.
  • Support AI use cases including RAG, GraphRAG, AI Agents, and enterprise search.
  • Deliver technical workshops and knowledge transfer sessions.
  • Troubleshoot and resolve complex technical issues.
  • Collaborate with Product and Engineering to influence the future direction of the Kobai platform.
  • Become the trusted technical advisor for strategic enterprise customers.  

Required Experience

  • 5+ years' experience in Solution Architecture, Data Engineering, AI Engineering or Technical Consulting.
  • Strong experience with Databricks.
  • Strong Python and SQL skills.
  • Experience with Apache Spark and Delta Lake.
  • Experience integrating enterprise applications and data platforms.
  • Excellent communication and customer-facing skills.
  • Ability to lead technical discussions with senior architects and engineering teams. 

Desirable Experience

  • Knowledge Graphs.
  • Semantic Technologies (RDF, OWL, SPARQL).
  • Enterprise Ontologies.
  • MCP (Model Context Protocol).
  • LLMs and Agentic AI.
  • GraphRAG / Retrieval-Augmented Generation.
  • Azure or AWS.
  • Snowflake.
  • Manufacturing, industrial, or other regulated industries. 


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