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Internship Remote Systems Engineer Jobs in Philadelphia, PA

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

AI Engineer - Remote

Philadelphia, PA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

... AI systems. In this role, you will evaluate, review, and refine AI-generated business content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

DevOps Engineer - Remote

Philadelphia, PA ยท Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD ...

AI/ML Engineer - Remote

Philadelphia, PA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Showing results 21-40

Internship Remote Systems Engineer information

See Philadelphia, PA salary details

$11

$19

$29

How much do internship remote systems engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship remote systems engineer in Philadelphia, PA is $19.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.11 per hour, depending on experience, location, and employer.

What is a remote systems engineer internship?

A remote systems engineer internship is a temporary, learning-focused position where students or recent graduates work on designing, maintaining, and troubleshooting computer systems from a remote location. Interns often assist with tasks such as system configuration, network management, and software updates under the supervision of experienced engineers. The remote aspect means all work and communication are conducted online, providing flexibility and exposure to virtual collaboration tools. This type of internship helps individuals gain hands-on experience in systems engineering while developing skills in remote work environments.

What types of projects and learning opportunities can I expect as a remote systems engineering intern?

As a remote systems engineering intern, you can expect to work on a variety of projects such as configuring cloud infrastructure, automating system deployments, and supporting system monitoring tasks. You'll typically collaborate with full-time engineers, participate in virtual team meetings, and receive mentorship to develop technical skills in areas like Linux administration, networking, and scripting. The remote aspect means strong communication and self-management are essential, but you'll often have access to documentation, code repositories, and online learning resources provided by your team. Many internships also offer opportunities to contribute to real-world projects, which can significantly enhance your resume and open doors to full-time roles in systems engineering.

What are the key skills and qualifications needed to thrive as an internship remote systems engineer, and why are they important?

To thrive as an Internship Remote Systems Engineer, you need foundational knowledge of computer systems, networking, and operating systems, often supported by coursework in computer science or information technology. Familiarity with tools such as Linux, Windows Server, cloud platforms (like AWS or Azure), and version control systems (such as Git) is usually required. Strong problem-solving skills, effective communication, and self-motivation are vital soft skills for working independently and collaborating with remote teams. These skills and qualities are crucial to efficiently support system operations, troubleshoot issues, and contribute to distributed technical projects.

What is the difference between Internship Remote Systems Engineer vs Remote Network Engineer?

AspectInternship Remote Systems EngineerRemote Network Engineer
CredentialsTypically pursuing or recent graduate in Computer Science or related fieldRelevant certifications like CCNA, CompTIA Network+ often preferred
Work EnvironmentRemote, often part-time or temporary internshipRemote, full-time or contract roles in network infrastructure
Industry UsageUsed in tech companies, IT departments, and startups for training and entry-level experienceUsed across industries for maintaining and designing network systems

The Internship Remote Systems Engineer is an entry-level, often temporary role focused on gaining experience in systems engineering, while a Remote Network Engineer typically handles network infrastructure tasks remotely, often requiring specific certifications. Both roles are remote and industry-relevant but differ mainly in focus and experience level.

What are the most commonly searched types of Remote Systems Engineer jobs in Philadelphia, PA?

The most popular types of Remote Systems Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Internship Remote Systems Engineer jobs?

Cities near Philadelphia, PA with the most Internship Remote Systems Engineer job openings:

Infographic showing various Internship Remote Systems Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,539 per year, or $19.5 per hour.

Backend Engineer - Remote

YO AI Labs

Philadelphia, PA โ€ข Remote

$80 - $120/hr

Full-time

Posted 7 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.