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Remote Knowledge Engineer Jobs (NOW HIRING)

Wood Plc

Distribution Engineer (remote)

Orlando, FL · On-site +1

This position is a remote position or is a hybrid position in any of the following offices - West ... Knowledge of CSA/IEC/NESC/IEEE Standards and Codes and major utility Engineering Standards

Wood Plc

Distribution Engineer (remote)

Orlando, FL · On-site +1

This position is a remote position or is a hybrid position in any of the following offices - West ... Knowledge of CSA/IEC/NESC/IEEE Standards and Codes and major utility Engineering Standards

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Remote Knowledge Engineer information

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$38K

$115.9K

$191.5K

How much do remote knowledge engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote knowledge engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

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

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.

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 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.

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.
More about Remote Knowledge Engineer jobs
What cities are hiring for Remote Knowledge Engineer jobs? Cities with the most Remote Knowledge Engineer job openings:
What are the most commonly searched types of Knowledge Engineer jobs? The most popular types of Knowledge Engineer jobs are:
What states have the most Remote Knowledge Engineer jobs? States with the most job openings for Remote Knowledge Engineer jobs include:
What job categories do people searching Remote Knowledge Engineer jobs look for? The top searched job categories for Remote Knowledge Engineer jobs are:
Remote Knowledge Engineer jobs near you
Infographic showing various Remote Knowledge Engineer job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 56% Full Time, 11% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Knowledge Engineer | Remote role | W2 Only |

Knowledge Engineer | Remote role | W2 Only |

Xlysi

Chicago, IL • Remote

Other

Posted 6 days ago

Job description

Design and maintain enterprise knowledge repositories and document management solutions using SharePoint.
Work closely with business users, healthcare SMEs, data engineers, and architects to capture, organize, and govern organizational knowledge.
Develop and maintain metadata models, taxonomies, and information architecture standards.
Build and optimize data pipelines using Databricks and Snowflake to support reporting, analytics, and AI initiatives.
Transform healthcare data from multiple source systems into usable business knowledge assets.
Collaborate with data engineering teams to ensure data quality, lineage, governance, and accessibility.
Support enterprise search, knowledge discovery, and AI-powered information retrieval initiatives.
Create and maintain documentation, knowledge articles, process flows, and technical standards.
Work with structured and unstructured healthcare data, including clinical, operational, and financial datasets.
Participate in data governance activities and ensure compliance with healthcare regulations and organizational policies.
Partner with cross-functional teams to improve knowledge sharing and reduce information silos across the organization.
Required Skills & Experience
8+ years of overall IT experience.
4+ years of experience in Knowledge Management or Knowledge Engineering roles.
Strong hands-on experience with SharePoint Online and Microsoft 365 collaboration tools.
Experience working with Databricks, Apache Spark, and Lakehouse architectures.
Strong experience with Snowflake data warehousing and data modelling.
Solid understanding of Data Engineering concepts including ETL/ELT, data integration, and data quality management.
Experience working within healthcare environments and healthcare data domains.
Knowledge of healthcare standards such as HL7, FHIR, ICD, Claims, Provider, and Member data is highly desirable.
Strong SQL and data analysis skills.
Experience with Python, PySpark, or similar data engineering technologies.
Understanding of enterprise information architecture, metadata management, and taxonomy design

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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006

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