ZipRecruiter

Log In

2

Remote Knowledge Engineer Jobs in Cookstown, NJ (NOW HIRING)

Quora

iOS Engineer -Remote

Trenton, NJ · Remote

$61.63 - $88.47/hr

Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Ocean Spray

Environmental Engineer

Chatsworth, NJ · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Knowledge of environmental prevention and management plans (e.g., SPCC, SWPPP, Wastewater O&M)

Nityo Infotech

Cloud Devops Engineer

Plainsboro, NJ · Remote

$54 - $74/hr

REMOTE Duration: 1+ yr VISA: Permanent Residents/Citizens A handson role in architecture, design ... AWS/Azure platform knowledge is a must. * Handson experience with various enterprise applications ...

Nityo Infotech

Cloud Devops Engineer

Plainsboro, NJ · On-site +1

$54 - $74/hr

REMOTE Duration: 1+ yr VISA: Permanent Residents/Citizens A handson role in architecture, design ... AWS/Azure platform knowledge is a must. * Handson experience with various enterprise applications ...

YO AI Labs

Mental Health Expert - Remote

Philadelphia, PA · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex ...

previous pagenext page

Showing results 21-40

All JobsKnowledge Engineer JobsRemote Knowledge Engineer JobsRemote Knowledge Engineer Jobs in Cookstown, NJ

Remote Knowledge Engineer information

See Cookstown, NJ salary details

$38.7K

$117.9K

$194.8K

How much do remote knowledge engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote knowledge engineer in Cookstown, NJ is $117,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $154,100.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Remote Knowledge Engineer jobs near you

Backend Java Developer - Remote

Philadelphia, PA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $110/hr

Full-time

Posted 20 days ago

Job description

Backend Java Developer

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Backend Java Developers to support a high-impact technology and AI training project. In this role, you will apply your backend development expertise to design, develop, review, and optimize scalable systems using Java, Spring Boot, and microservices architecture.

No prior AI experience is required. Strong backend engineering expertise and the ability to deliver high-quality technical solutions are the key requirements.

Key Responsibilities
  • Design, develop, and maintain scalable backend applications using Java and Spring Boot.
  • Build and maintain robust microservices architectures.
  • Develop and integrate REST APIs and backend services.
  • Review technical requirements and deliver clean, maintainable, and efficient code.
  • Participate in code reviews and provide constructive technical feedback.
  • Troubleshoot, debug, and optimize backend systems.
  • Contribute to application performance, reliability, scalability, and security.
  • Document technical processes, solutions, and system designs.
  • Collaborate effectively with remote teams and stakeholders.
Required Qualifications
  • Strong proficiency in Java.
  • Hands-on experience with Spring Boot.
  • Strong understanding of microservices architecture and design principles.
  • Experience developing scalable and maintainable backend systems.
  • Solid knowledge of REST APIs, data structures, and backend best practices.
  • Strong problem-solving and debugging skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and ability to work independently.
Preferred Qualifications
  • Experience with AWS, Azure, or Google Cloud.
  • Experience with high-availability or distributed systems.
  • Background in AI-driven or data-intensive applications.
  • Experience working with remote or distributed development teams.
Core Skills

Java | Spring Boot | Microservices | REST APIs | Backend Development | Distributed Systems | API Development | Cloud Platforms | Debugging | System Design | Software Architecture | Code Review