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Remote Gas Engine Performance Engineer Jobs in Illinois

Siege Media

SEO/GEO Team Lead

Chicago, IL · On-site +1

Siege Media is a growing and remote-first GEO agency! We are nationally recognized on Inc.'s Best ... Run weekly performance analyses (Google Search Console, Google Analytics, Ahrefs, Peec AI, and ...

Sotera Health

EAS Gas Director

Oak Brook, IL · Remote

Establish performance goals and monitor key metrics to support operational excellence. Promote a ... What We're Looking For Required Qualifications Master's degree in a scientific or engineering ...

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Remote Gas Engine Performance Engineer information

What is the difference between Remote Gas Engine Performance Engineer vs Remote Gas System Analyst?

AspectRemote Gas Engine Performance EngineerRemote Gas System Analyst
Required CredentialsBachelor's in Mechanical or Electrical Engineering, certifications in engine testingBachelor's in Mechanical, Chemical, or Petroleum Engineering, certifications in gas systems analysis
Work EnvironmentDesign labs, field testing sites, remote monitoringData analysis, system modeling, remote diagnostics
Employer & Industry UsageEnergy companies, engine manufacturers, research institutionsOil & gas companies, utilities, engineering consultancies

The Remote Gas Engine Performance Engineer focuses on optimizing engine performance through testing and analysis, often working directly with engines. In contrast, the Remote Gas System Analyst specializes in analyzing and modeling gas systems remotely to improve efficiency and safety. Both roles require technical expertise but differ in their focus areas within the gas industry.

How does a Remote Gas Engine Performance Engineer typically collaborate with on-site teams to troubleshoot performance issues?

As a Remote Gas Engine Performance Engineer, you will regularly coordinate with on-site maintenance and operations teams using virtual tools such as video calls, remote monitoring systems, and shared diagnostic platforms. You may analyze real-time engine data remotely, guide on-site staff through troubleshooting steps, and provide recommendations for optimizing performance or resolving faults. Effective communication skills and the ability to interpret data while not being physically present are essential in ensuring smooth collaboration and timely problem resolution.

What are the key skills and qualifications needed to thrive as a Remote Gas Engine Performance Engineer, and why are they important?

To thrive as a Remote Gas Engine Performance Engineer, you need expertise in mechanical or automotive engineering, strong analytical skills, and a relevant engineering degree. Familiarity with engine diagnostic tools, performance monitoring software, and industry-standard modeling systems like MATLAB or GT-Power is typically required. Excellent problem-solving abilities, communication, and the capacity to work independently are standout soft skills in this remote role. These competencies are essential for accurately assessing engine performance, optimizing operations, and collaborating effectively with distributed teams.

What does a Remote Gas Engine Performance Engineer do?

A Remote Gas Engine Performance Engineer is responsible for monitoring, analyzing, and optimizing the performance of gas engines from a remote location. They use specialized software and data analytics to assess engine efficiency, diagnose issues, and recommend improvements to ensure optimal operation. Their work often involves collaborating with on-site engineers, providing technical support, and generating performance reports to help minimize downtime and maximize engine productivity.
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Remote Gas Engine Performance Engineer jobs near you
ML Engineer - Coding Agent Expert - AI Trainer

ML Engineer - Coding Agent Expert - AI Trainer

Mercor

Chicago, IL • Remote

$85/hr

Full-time

Posted 19 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: ML Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
  • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
  • Identify bugs, edge cases, performance issues, and failure modes in AI models.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic ML engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional machine learning engineering experience.
  • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated machine learning implementations and technical tradeoffs.

Preferred

  • Experience deploying ML systems to production.

Compensation & Legal

  • $400 per accepted task
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor