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Remote Knowledge Engineer Jobs (NOW HIRING)

Dataminr

Principal Software Engineer, Knowledge Platform

OR · Remote

$134.90K - $180.80K/yr

This US-based role can be remote or based out of our New York City office. AI Innovation at ... massive-scale knowledge graph. * Work with other software engineers, data scientists and AI ...

anthropic

Research Engineer, Knowledge Team

Seattle, WA · On-site +1

$350K - $850K/yr

Research Engineer, Knowledge Team Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and ...

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Aniesis Pharma

Remote Software Engineer Toronto, ON, Canada CA$ 58.90 - 120.00 (Canadian Dollar) Please note: This ... Strong knowledge of programming languages such as Java, C++, or Python * Experience with front-end ...

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How much do remote knowledge engineer jobs pay per year?

As of May 28, 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.

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 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 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.

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Remote Knowledge Engineer jobs near you
Remote Flink SQL Engineer Equity Included

Remote Flink SQL Engineer Equity Included

Confluent

Saint Paul, MN • Remote

Full-time

Posted 27 days ago

Job description

A technology company is seeking a Staff Engineer to enhance Flink SQL components, enhancing user experience in cloud-native systems. The ideal candidate has over 10 years of software development experience and deep expertise in database internals. This remote role requires exceptional problem-solving and communication skills, with opportunities to mentor junior developers.

Join us to innovate in data streaming and make a tangible impact. #J-18808-Ljbffr

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About Confluent

Sourced by ZipRecruiter

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action--giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world. We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow--whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Mountain View, CA, US

Year founded

2014

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