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Remote Knowledge Engineer Jobs in California (NOW HIRING)

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Collaborate with the Knowledge Engineering team to build automated workflows for Ontology ...

ICF

Substation Physical Engineer - REMOTE

Riverside, CA · Remote

$102K - $130K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You always strive to expand your knowledge and improve work processes to increase quality and ...

ICF

Substation Physical Engineer - REMOTE

Bakersfield, CA · Remote

$101K - $129K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You always strive to expand your knowledge and improve work processes to increase quality and ...

ICF

Substation Physical Engineer - REMOTE

Los Angeles, CA · Remote

$106K - $135K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You always strive to expand your knowledge and improve work processes to increase quality and ...

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Remote Knowledge Engineer information

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.
What are the most commonly searched types of Knowledge Engineer jobs in California? The most popular types of Knowledge Engineer jobs in California are:
What are popular job titles related to Remote Knowledge Engineer jobs in California? For Remote Knowledge Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Engineer jobs in California look for? The top searched job categories for Remote Knowledge Engineer jobs in California are:
What cities in California are hiring for Remote Knowledge Engineer jobs? Cities in California with the most Remote Knowledge Engineer job openings:
Remote Knowledge Engineer jobs near you
Infographic showing various Remote Knowledge Engineer job openings in California as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution.

Remote Zero-Knowledge Circuit Engineer - Scroll

Blockchain Works

San Francisco, CA • On-site, Remote

Full-time

Medical, PTO

Posted 7 days ago

Job description

We are looking for azero-knowledge circuit engineerto help build and optimize our implementation of the EVM within a zero-knowledge circuit (the zkEVM). You will work alongside the applied ZKP team from the Ethereum Foundation to develop open source code to provide succinct validity proofs for EVM execution. This is a critical piece of our mission to build a fully EVM-compatible zkRollup.

Your day-to-day work will involve writing and testing pieces of the zkEVM system, contributing to our Rust-based development tooling, and optimizing the zkEVM circuits for performance. We are looking for someone with either prior experience developing ZKP circuits or extremely strong problem-solving / engineering fundamentals to ramp up quickly in this cutting-edge domain. The ideal candidate will be able to contribute correct circuit code while working in a rapidly evolving open source ecosystem.

Job Duties
  • Implement EVM opcodes and subcomponents of the zkEVM circuits.
  • Optimize performance of the zkEVM circuits
  • Coming up with and iterating on novel ideas to improve circuit performance
  • Directly testing or creating developer tooling to ensure correctness of our circuits.
Qualifications
  • Strong background in math, cryptography, or related areas (most of the ZKP team holds PhDs, but no formal academic degree is required).
  • Proficiency in Rust, C++, Golang, or Python. We work primarily in Rust, but prior experience with this language is not mandatory.
  • Strong problem-solving skills and interest in zero-knowledge proofs.
  • Prior experience with (physical) chip design, low level optimization of cryptographic code, or zero-knowledge proofs is a plus!
Benefits
  • Work from anywhere with flexible hours
  • Generous paid time off
  • Home office set up
  • Annual growth budget
  • Coworking membership allowance
  • Private healthcare in selected countries
  • Competitive salary package
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