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Remote Knowledge Engineer Jobs in Boston, MA (NOW HIRING)

Motorola

Senior DevOps Engineer (US REMOTE)

Waltham, MA · Remote

$140K - $170K/yr

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Knowledge of secure coding practices, security frameworks, and tooling (e.g., OWASP, NIST, CIS ...

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All JobsKnowledge Engineer JobsRemote Knowledge Engineer JobsRemote Knowledge Engineer Jobs in Boston, MA

Remote Knowledge Engineer information

See Boston, MA salary details

$41.3K

$125.9K

$208K

How much do remote knowledge engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote knowledge engineer in Boston, MA is $125,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 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.
What are popular job titles related to Remote Knowledge Engineer jobs in Boston, MA? For Remote Knowledge Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Engineer jobs in Boston, MA look for? The top searched job categories for Remote Knowledge Engineer jobs in Boston, MA are:
Remote Knowledge Engineer jobs near you
Infographic showing various Remote Knowledge Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,875 per year, or $60.5 per hour.

Senior Software Engineer [REMOTE]

Upbound - Job Posting

Boston, MA • Remote

$133K - $175K/yr

Other

Posted 14 days ago

Job description

Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations.

What You'll Do
  • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.
  • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users.
  • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks.
  • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements.
  • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment - discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support.
  • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence.
  • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly.
  • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response.
  • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release.
  • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments.
  • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.
What You'll Bring
  • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability.
  • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments.
  • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance.
  • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments.
  • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads.
  • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build.
  • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features.
  • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges.
  • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers.

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