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Remote Performance Engineer Jobs in Vincentown, NJ

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 seeking experienced Senior Software Engineers to support an AI training project by creating

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native

YO AI Labs

AI Trainer - Remote

Philadelphia, PA · Remote

$80 - $120/hr

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

Ocean Spray

Environmental Engineer

Chatsworth, NJ · On-site +1

Ocean Spray is hiring for a(n) Environmental Engineer! We're a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role - it always comes back to this: we're a

HBK Engineering, LLC

Design Engineer

Philadelphia, PA · On-site +1

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm headquartered in Chicago, IL with a staff approaching 700 individuals. HBK provides civil, environmental,

Quora

iOS Engineer -Remote

Philadelphia, PA · Remote

$61.63 - $88.47/hr

About Quora: Quora's mission is to grow and share the world's knowledge. To do so, we have two knowledge sharing products: * Quora: a global knowledge sharing platform with over 300M monthly unique

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Showing results 21-40

All JobsPerformance Engineer JobsRemote Performance Engineer JobsRemote Performance Engineer Jobs in Vincentown, NJ

Remote Performance Engineer information

See Vincentown, NJ salary details

$11

$60

$98

How much do remote performance engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote performance engineer in Vincentown, NJ is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.52 and $68.37 per hour, depending on experience, location, and employer.

What is a remote performance engineer?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

How does a remote performance engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What are the key skills and qualifications needed to thrive as a remote performance engineer, and why are they important?

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

What cities near Vincentown, NJ are hiring for Remote Performance Engineer jobs?

Cities near Vincentown, NJ with the most Remote Performance Engineer job openings:

Remote Performance Engineer jobs near you
Infographic showing various Remote Performance Engineer job openings in Vincentown, NJ 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 $125,676 per year, or $60.4 per hour.

Frontend Developer - Remote

Philadelphia, PA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 16 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.