ZipRecruiter

Log In

2

Remote Knowledge Engineer Jobs in Massachusetts (NOW HIRING)

Trivelta

Lead DevOps Engineer (Remote)

Boston, MA · Remote

$57.25 - $78.50/hr

... Engineer , you will design and build the infrastructure powering our platform serving hundreds of ... Expert-level knowledge of AWS services (EC2, S3, VPC, IAM, CloudFormation, Control Tower, etc.

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails) * OpenSearch & Vector Databases * RAG ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

RELQ Technologies

DevOps Engineer

MA · On-site +1

$49.50 - $68/hr

Remote (U.S) Duration: 6+ Months (Contract) Client Domain: Product-based Technology Company ... Strong knowledge of networking, security, and identity management fundamentals. * Comfortable ...

Quora

$139K - $168K/yr

To do so, we have two knowledge sharing products: * Quora : a global knowledge sharing platform ... Our small engineering team works on challenging problems every day. We have a culture that's rooted ...

next page

Showing results 1-20

All JobsKnowledge Engineer JobsRemote Knowledge Engineer JobsRemote Knowledge Engineer Jobs in Massachusetts

Remote Knowledge Engineer information

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.

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 Massachusetts? The most popular types of Knowledge Engineer jobs in Massachusetts are:
What are popular job titles related to Remote Knowledge Engineer jobs in Massachusetts? For Remote Knowledge Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Knowledge Engineer jobs in Massachusetts look for? The top searched job categories for Remote Knowledge Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Knowledge Engineer jobs? Cities in Massachusetts with the most Remote Knowledge Engineer job openings:
Remote Knowledge Engineer jobs near you
Infographic showing various Remote Knowledge Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

AI Engineer - Remote

NAVA Software Solutions

Boston, MA • On-site, Remote

Contractor

Re-posted 8 days ago

Job description

NAVA Software is looking for an AI Engineer
Details:
AI Engineer
Location: 100% Remote
Duration: 6+ month contract-to-hire
Interviews: 2 rounds
Top Requirements:
  • Implemented GraphRag in AI/ML products (production deployments).
  • Strong Azure cloud experience.
  • Python/PySpark, Java programming.
  • Experience building UI with React/Angular, HTML, CSS, JavaScript.
  • Knowledge graph implementation (Neo4j preferred).
    LLM optimization & improved response handling.

Responsibilities:
  • Design, develop, and deploy Decision Intelligence & AI-enabled products.
  • Work in Agile teams with engineers, scientists, product managers.
  • Guide architecture, infrastructure, and tools for AI/ML products.
  • Develop rapid prototypes and scale solutions in production.
  • Build MLOps pipelines for structured/unstructured data.
  • Implement observability, monitoring, and compliance with HIPAA/security standards.
  • Mentor engineers and drive innovation.

Preferred Skills:
  • Contributions to open-source AI/ML projects.
  • Healthcare industry knowledge.
  • Experience with medical terminology & clinical workflows.
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

Facebook

View All NAVA Software Solutions Jobs

Apply