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Remote Engine Performance Engineer Jobs in Chicago, IL

Engine

Implementation Manager, Engine X

Chicago, IL · Remote

$90K - $115K/yr

Comfort with CRM tools, performance dashboards, and reporting systems * A metrics-driven mindset ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

Engine

Implementation Manager

Chicago, IL · Remote

$90K - $115K/yr

About Engine At Engine, we're transforming business travel into something personalized, rewarding ... Comfort owning ambitious performance goals, including high win rates through onboarding milestones ...

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NinjaTrader

Director, Website Marketing

Chicago, IL · On-site +1

$130K - $180K/yr

Pull and synthesize performance reports across organic, CRO, and site health metrics, translating ... and Engineering * Deep expertise in SEO, including technical SEO, site architecture, content ...

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All JobsEngine Performance Engineer JobsRemote Engine Performance Engineer JobsRemote Engine Performance Engineer Jobs in Chicago, IL

Remote Engine Performance Engineer information

See Chicago, IL salary details

$11

$61

$101

How much do remote engine performance engineer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for remote engine performance engineer in Chicago, IL is $61.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.10 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Engine Performance Engineer, you need a strong background in mechanical or automotive engineering, with expertise in engine systems and performance analysis, often supported by a relevant degree. Proficiency with diagnostic software, data acquisition tools, and simulation platforms such as MATLAB or AVL is typically required. Analytical thinking, effective communication, and problem-solving skills are crucial for collaborating remotely and delivering actionable insights. These skills ensure accurate performance optimization and reliable support for engine operations in distributed work environments.

What is a Remote Engine Performance Engineer?

A Remote Engine Performance Engineer is a professional who evaluates, monitors, and optimizes the performance of engines (such as those in automobiles, aircraft, or industrial equipment) from a remote location. They use specialized software and data analysis tools to assess engine efficiency, diagnose issues, and recommend improvements without being physically present with the machinery. This role often involves collaborating with on-site engineers, interpreting telemetry data, and providing guidance to enhance engine reliability and output. Remote Engine Performance Engineers are employed in industries like automotive, aerospace, and energy, where remote diagnostics and performance optimization are crucial.

How does a Remote Engine Performance Engineer typically collaborate with on-site teams to optimize engine performance?

As a Remote Engine Performance Engineer, collaboration with on-site teams is crucial for effective diagnostics and optimization. This is usually achieved through regular virtual meetings, sharing real-time data, and utilizing collaborative platforms to review test results and performance metrics. Engineers often work closely with test technicians, design engineers, and project managers to analyze issues, recommend adjustments, and implement improvements. Clear communication and timely feedback are key to ensuring seamless coordination despite the physical distance.

What is the difference between Remote Engine Performance Engineer vs Remote Powertrain Engineer?

AspectRemote Engine Performance EngineerRemote Powertrain Engineer
Required CredentialsBachelor's in Mechanical or Automotive Engineering, relevant certificationsBachelor's in Mechanical, Automotive, or Electrical Engineering, relevant certifications
Work EnvironmentAutomotive companies, OEMs, R&D labs, remote collaborationAutomotive manufacturers, suppliers, R&D, remote teams
Industry UsageFocuses on engine-specific performance optimizationEncompasses engine, transmission, and hybrid system performance
Search & Comparison IntentPeople comparing engine-specific rolesRoles involving entire powertrain systems

The Remote Engine Performance Engineer specializes in optimizing engine performance, focusing on combustion, efficiency, and emissions. In contrast, the Remote Powertrain Engineer works on the entire powertrain system, including engines, transmissions, and hybrid components. Both roles require similar technical backgrounds and are used in automotive R&D, but they differ in scope and focus.

What are the most commonly searched types of Engine Performance Engineer jobs in Chicago, IL? The most popular types of Engine Performance Engineer jobs in Chicago, IL are:
Remote 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 25 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