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Remote Application Support Engineer Jobs in Philadelphia, PA

TEKsystems

Willow Analyst

Marlton, NJ · Remote

$80 - $90/hr

... Application Support * Workflow Analysis & Documentation * System Upgrades & Enhancements * Vendor Management * Root Cause Analysis Work Environment This is a 100% remote, six-month contract ...

YO AI Labs

Backend Developer - Remote

Philadelphia, PA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Software Engineers to support an AI training project by creating reinforcement learning ...

YO AI Labs

Frontend Developer - Remote

Philadelphia, PA · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Software Engineers to support an AI training project by creating reinforcement learning ...

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All JobsApplication Support Engineer JobsRemote Application Support Engineer JobsRemote Application Support Engineer Jobs in Philadelphia, PA

Remote Application Support Engineer information

See Philadelphia, PA salary details

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How much do remote application support engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote application support engineer in Philadelphia, PA is $48.98, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $57.26 per hour, depending on experience, location, and employer.

What is a remote application support engineer?

A Remote Application Support Engineer is a technical professional who provides assistance and troubleshooting for software applications from a remote location. Their primary responsibilities include diagnosing and resolving software issues, assisting users with technical problems, and ensuring that applications run smoothly. They often communicate with clients or internal teams via email, chat, or video calls, and may also work on software updates or patches. This role is crucial for organizations that rely on complex software systems, as it helps minimize downtime and maintain productivity.

What are the key skills and qualifications needed to thrive as a remote application support engineer?

To thrive as a Remote Application Support Engineer, you typically need strong problem-solving abilities, knowledge of application troubleshooting, and a background in computer science or information technology. Familiarity with ticketing systems, remote desktop tools, SQL databases, and relevant certifications like ITIL or CompTIA A+ is often required. Excellent communication, time management, and customer service skills help you effectively resolve issues and collaborate with cross-functional teams. These skills are crucial for ensuring smooth application performance, minimizing downtime, and delivering a seamless user experience in a remote work environment.

What are the common challenges faced by remote application support engineers and how can they be addressed?

Remote Application Support Engineers often encounter challenges such as troubleshooting complex technical issues without direct access to on-site systems, managing time zone differences when supporting global clients, and maintaining effective communication with both technical teams and end users. To address these, engineers typically leverage remote diagnostic tools, thorough documentation, and collaborative platforms to resolve issues efficiently. Regular training and clear escalation protocols also help ensure that problems are addressed promptly, while scheduled check-ins foster teamwork and ongoing professional growth.

What is the difference between Remote Application Support Engineer vs Remote Software Support Specialist?

AspectRemote Application Support EngineerRemote Software Support Specialist
Required CredentialsIT certifications, technical degreesIT certifications, technical knowledge
Work EnvironmentTechnical support, troubleshootingCustomer support, issue resolution
Employer & Industry UsageTech companies, software firmsSoftware vendors, SaaS providers
Search & Comparison IntentTechnical troubleshooting, application supportCustomer service, software issues

The Remote Application Support Engineer primarily focuses on technical troubleshooting and maintaining software applications, often requiring technical certifications. In contrast, the Remote Software Support Specialist emphasizes customer service and resolving user issues. Both roles are common in tech and software industries, but they differ in their core responsibilities and skill sets.

What are the most commonly searched types of Application Support Engineer jobs in Philadelphia, PA?

The most popular types of Application Support Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Remote Application Support Engineer jobs in Philadelphia, PA?

For Remote Application Support Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Remote Application Support Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Remote Application Support Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Application Support Engineer jobs?

Cities near Philadelphia, PA with the most Remote Application Support Engineer job openings:

Remote Application Support Engineer jobs near you
Infographic showing various Remote Application Support Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,868 per year, or $49 per hour.

AI Agent Evaluation Engineer - Remote

YO AI Labs

Philadelphia, PA • Remote

$80 - $120/hr

Full-time

Posted 6 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.