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Remote Knowledge Engineer Jobs in Pittsburgh, PA

Application & System Reliability Engineer

PA · On-site +1

$97K - $123K/yr

This is a remote position where candidates must reside within the United States to be considered ... Knowledge of Eaton electrical products, services and competitors Skills: Position Criteria: • ...

Senior Site/Civil Engineer

Pittsburgh, PA · On-site +1

$125K - $160K/yr

However for the right candiate, this would be a remote position. Joining the power team at GFT ... Knowledge of advanced (3D) design software * Excellent oral and written communication skills, able ...

Senior Site/Civil Engineer

Pittsburgh, PA · On-site +1

$125K - $160K/yr

However for the right candiate, this would be a remote position. Joining the power team at GFT ... Knowledge of advanced (3D) design software * Excellent oral and written communication skills, able ...

This position can be fully remote. GAI's Power Business Unit focuses on developing and supporting ... Strong working knowledge of civil engineering design tasks and a positive attitude. * Possesses ...

This position can be fully remote. GAI's Power Business Unit focuses on developing and supporting ... Strong working knowledge of civil engineering design tasks and a positive attitude. * Possesses ...

Showing results 21-40

Remote Knowledge Engineer information

See Pittsburgh, PA salary details

$36.9K

$112.5K

$185.9K

How much do remote knowledge engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote knowledge engineer in Pittsburgh, PA is $112,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,600.00 and $147,100.00 per year, depending on experience, location, and employer.

What is a remote knowledge engineer?

A Remote Knowledge Engineer is a professional who designs, develops, and maintains systems that organize and manage knowledge, often using artificial intelligence and machine learning. They work from a remote location, leveraging digital tools to gather, structure, and analyze information for organizations. Their responsibilities may include building knowledge graphs, developing ontologies, and ensuring that data is accessible and usable for decision-making. Remote Knowledge Engineers collaborate with subject matter experts, software developers, and data scientists to optimize knowledge management solutions. They play a key role in helping organizations turn complex data into actionable insights, all while working outside of a traditional office environment.

What are the key skills and qualifications needed to thrive as a remote knowledge engineer?

To excel as a Remote Knowledge Engineer, you generally need expertise in knowledge management, ontologies, data modeling, and a relevant degree in computer science or information science. Familiarity with technical tools such as semantic web technologies (e.g., RDF, OWL), knowledge graph platforms, and query languages like SPARQL is often required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating across distributed teams and translating complex information. These skills ensure the creation, organization, and optimization of knowledge systems that support informed decision-making and efficient remote operations.

How does a remote knowledge engineer typically collaborate with subject matter experts and development teams?

As a Remote Knowledge Engineer, you will frequently interact with subject matter experts (SMEs) to extract, structure, and validate knowledge for use in AI systems or knowledge bases. Collaboration is often conducted through virtual meetings, shared documentation, and project management tools. You’ll also work closely with developers to integrate structured knowledge into systems and ensure accuracy. Effective communication and the ability to translate complex concepts into structured data formats are key to success in this remote, cross-functional environment.

What is the difference between Remote Knowledge Engineer vs Remote Data Scientist?

AspectRemote Knowledge EngineerRemote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ontologies and knowledge basesBachelor's or higher in CS, Statistics, or related; proficiency in programming and statistical analysis
Work EnvironmentCollaborates with AI teams, develops knowledge systems, often in tech or AI companiesAnalyzes data, builds models, works in tech, finance, or healthcare sectors
Employer & Industry UsageUsed in AI, knowledge management, and enterprise solutionsCommon in data-driven industries like tech, finance, healthcare

While both roles involve technical expertise, Remote Knowledge Engineers focus on developing and managing knowledge bases and AI systems, whereas Remote Data Scientists analyze data to derive insights. Both roles often work in tech industries and require strong technical backgrounds, but their core responsibilities differ significantly.

What are popular job titles related to Remote Knowledge Engineer jobs in Pittsburgh, PA?

For Remote Knowledge Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Knowledge Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Knowledge Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Knowledge Engineer job openings:

Remote Lead/Senior Architect

MRINetwork Jobs

Pittsburgh, PA • Remote

Full-time

Re-posted 27 days ago


Job description

We are representing a multi-disciplinary, Civil/Architectural/Environmental/Surveying/Field Services Construction Engineering firm that is looking for a Remote Lead/Senior Architect for the Greater Pittsburgh region.

REQUIREMENTS:

  • BS degree in Civil Engineering or Architect Engineering.
  • Min 5 years experience.
  • NCARB Registered Architect.
  • Experience with Revit software.
  • Knowledge of FGI Guidelines for Healthcare facilities.