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Remote Knowledge Graph Software Engineer Jobs in Schaumburg, IL

Lead Software Engineer

Lake Forest, IL · On-site +1

$124K - $207K/yr

Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor ... Expert knowledge of programming skills; JVM, Kotlin, Typescript, React, or similar languages

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes ...

Senior Software Engineer

Chicago, IL · Remote

$125K - $165K/yr

This is remote position requiring occasional in-person office meetings for candidates residing in ... Knowledge of many of Laravel's ecosystem of tools * 6+ years of previous experience building ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong knowledge of performance optimization and tuning . * Excellent written and verbal ...

Senior Software Engineer

Westchester, IL · On-site +1

$121K - $160K/yr

Mentor and support the growth of junior and intermediate engineers through knowledge sharing ... Strong communication and collaboration skills, with the ability to work effectively in a remote ...

Full Stack Software Engineer RCM Platform Are you ready to join a cutting-edge healthcare startup ... This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Strong knowledge of RCM (Revenue Cycle Management), including charge capture, coding concepts ...

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... Strong knowledge of RCM (Revenue Cycle Management), including charge capture, coding concepts ...

Senior Staff Software Engineer

Westchester, IL · On-site +1

$121K - $160K/yr

Mentor and support the growth of junior and intermediate engineers through knowledge sharing ... Strong communication and collaboration skills, with the ability to work effectively in a remote ...

Showing results 41-60

Remote Knowledge Graph Software Engineer information

See Schaumburg, IL salary details

$62.4K

$144.9K

$201.8K

How much do remote knowledge graph software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote knowledge graph software engineer in Schaumburg, IL is $144,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $169,900.00 per year, depending on experience, location, and employer.

What is a remote knowledge graph software engineer?

A Remote Knowledge Graph Software Engineer is a software developer who specializes in designing, building, and maintaining knowledge graph systems while working from a remote location. Knowledge graphs are structured representations of data that help in connecting and analyzing information through relationships and semantics. These engineers use technologies like RDF, SPARQL, and graph databases to enable advanced data querying and integration. They often collaborate with data scientists, analysts, and other engineers to solve complex data challenges across various industries. Working remotely allows them to contribute from anywhere, using communication and collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote knowledge graph software engineer?

To thrive as a Remote Knowledge Graph Software Engineer, you need expertise in graph data modeling, proficiency in programming languages such as Python or Java, and a solid understanding of semantic web technologies, often backed by a degree in computer science or a related field. Familiarity with graph databases like Neo4j or Amazon Neptune, query languages such as SPARQL or Cypher, and experience with knowledge representation frameworks are typically required. Strong problem-solving abilities, effective remote communication, and self-motivation are crucial soft skills for this role. These skills ensure the engineer can design, implement, and maintain complex knowledge graph systems, enabling intelligent data connections and supporting scalable, collaborative remote work environments.

How does a remote knowledge graph software engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Knowledge Graph Software Engineer, collaboration often happens through virtual meetings, code repositories, and shared documentation platforms. You’ll regularly interact with data scientists, product managers, and other engineers to design and implement scalable graph-based solutions. Clear communication and proactive sharing of updates are essential, as team members may be spread across multiple time zones. Utilizing tools like Slack, Jira, and GitHub, remote engineers ensure alignment on project goals, resolve blockers quickly, and contribute to a cohesive team culture.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Schaumburg, IL?

The most popular types of Knowledge Graph Software Engineer jobs in Schaumburg, IL are:

What are popular job titles related to Remote Knowledge Graph Software Engineer jobs in Schaumburg, IL?

For Remote Knowledge Graph Software Engineer jobs in Schaumburg, IL, the most frequently searched job titles are:

What job categories do people searching Remote Knowledge Graph Software Engineer jobs in Schaumburg, IL look for?

The top searched job categories for Remote Knowledge Graph Software Engineer jobs in Schaumburg, IL are:

Infographic showing various Remote Knowledge Graph Software Engineer job openings in Schaumburg, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $144,863 per year, or $69.6 per hour.

AI Agent Evaluation Engineer - Remote

Chicago, IL • Remote

$80 - $120/hr

Full-time

Posted 13 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.