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Remote Performance Engineer Jobs in Crown Point, IN

Brainlab

National Technical Support

Chicago, IL · On-site +1

$38K - $48K/yr

... remote support for the region; mentoring team and accessing individual/team performance. 50% domestic travel. Qualifications * B.S. in Electrical Engineering, Biomedical Engineering, Mechanical ...

Turnblock.io

Software Engineer Remote (Web3)

Chicago, IL · Remote

$200K - $250K/yr

... engineers to join them. This is a remote position for any US-based candidate. Our client ... They created the first and only high performance blockchain distribution network (BDN) with the ...

Databento

Software Engineer (C++/Rust)

Chicago, IL · On-site +1

Good communication skills and work ethic for a remote workplace. * An interest in low-level optimization and performance engineering. * An interest in financial data or algorithmic trading. Notice ...

Derex Technologies, Inc.

AI Engineer

Chicago, IL · On-site +1

Chicago, IL - Remote Responsibilities: * As a LLM Full Stack Engineer, you will be responsible for ... Design and implement scalable APIs that enhance application performance. * Utilize best practices ...

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... performance, reliability, security, governance, and operational efficiency. * Support the ...

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All JobsPerformance Engineer JobsRemote Performance Engineer JobsRemote Performance Engineer Jobs in Crown Point, IN

Remote Performance Engineer information

See Crown Point, IN salary details

$10

$57

$93

How much do remote performance engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote performance engineer in Crown Point, IN is $57.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.57 per hour, depending on experience, location, and employer.

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 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.

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 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 job categories do people searching Remote Performance Engineer jobs in Crown Point, IN look for? The top searched job categories for Remote Performance Engineer jobs in Crown Point, IN are:
What cities near Crown Point, IN are hiring for Remote Performance Engineer jobs? Cities near Crown Point, IN with the most Remote Performance Engineer job openings:
Remote Performance Engineer jobs near you

ML Engineer - Coding Agent Expert - AI Trainer

Mercor

Chicago, IL • Remote

$85/hr

Full-time

Re-posted 22 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