ZipRecruiter

Log In

1

Evaluation Engineer Jobs in Chicago, IL (NOW HIRING)

Covista

Director- Applied AI

Lisle, IL · Hybrid

Hold the AI Evaluation Engineer accountable for a durable eval harness -- offline golden datasets, regression suites, LLM-as-judge scoring, human-review queues, and online quality monitoring. * Treat ...

Covista

Director- Applied AI

Lisle, IL · On-site

$250K/yr

Hold the AI Evaluation Engineer accountable for a durable eval harness - offline golden datasets, regression suites, LLM-as-judge scoring, human-review queues, and online quality monitoring. * Treat ...

Covista

Director- Applied AI

Lisle, IL · Hybrid

$250K/yr

Hold the AI Evaluation Engineer accountable for a durable eval harness - offline golden datasets, regression suites, LLM-as-judge scoring, human-review queues, and online quality monitoring. * Treat ...

next page

Showing results 1-20

All JobsEvaluation Engineer JobsEvaluation Engineer Jobs in Chicago, IL

Evaluation Engineer information

See Chicago, IL salary details

$57.2K

$132.3K

$171K

How much do evaluation engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for evaluation engineer in Chicago, IL is $132,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $154,500.00 per year, depending on experience, location, and employer.

What is an evaluation engineer?

An Evaluation Engineer is a professional who assesses products, systems, or processes to ensure they meet specified standards and performance criteria. They are responsible for designing and conducting tests, analyzing results, and recommending improvements or changes. Evaluation Engineers work in various industries, including manufacturing, electronics, software, and automotive, to support product development and quality assurance. Their work helps companies deliver reliable and effective products to the market.

What are the key skills and qualifications needed to thrive as an evaluation engineer, and why are they important?

To thrive as an Evaluation Engineer, you need a solid background in engineering principles, analytical problem-solving, and experience with product testing, often supported by a degree in engineering or a related field. Familiarity with testing equipment, data analysis tools (such as MATLAB or LabVIEW), and industry-specific standards or certifications is typically required. Strong attention to detail, effective communication, and collaboration skills help Evaluation Engineers accurately assess products and share findings with cross-functional teams. These skills are crucial for ensuring product quality, safety, and compliance with regulatory and customer requirements.

What are some common challenges faced by evaluation engineers when assessing new products or systems?

Evaluation Engineers often encounter challenges such as tight project deadlines, rapidly evolving technology, and the need to balance thorough testing with efficiency. They may also face difficulties in obtaining comprehensive data or replicating real-world scenarios during evaluations. Collaborating closely with cross-functional teams—like design, manufacturing, and quality assurance—is essential to address these challenges and ensure accurate, actionable results.

What is the difference between Evaluation Engineer vs Test Engineer?

AspectEvaluation EngineerTest Engineer
Required CredentialsBachelor's in Engineering, certifications in testing or evaluation methodsBachelor's in Engineering, certifications in testing or quality assurance
Work EnvironmentResearch labs, product development, quality assessmentManufacturing plants, testing labs, product validation
Industry UsageUsed in electronics, aerospace, automotive for evaluating performanceUsed across industries for testing products and systems

Evaluation Engineers focus on assessing product performance, reliability, and compliance through detailed analysis, often in research or development settings. Test Engineers primarily execute testing procedures to identify defects and ensure quality during manufacturing or pre-release stages. While both roles require technical skills and certifications, Evaluation Engineers emphasize evaluation and analysis, whereas Test Engineers concentrate on testing execution and defect detection.

What does an evaluation engineer do?

An evaluation engineer assesses the performance, reliability, and safety of products, systems, or processes through testing, analysis, and data collection. They often use specialized tools and techniques to ensure standards are met and may prepare reports or recommendations based on their findings.

What are popular job titles related to Evaluation Engineer jobs in Chicago, IL?

For Evaluation Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Evaluation Engineer jobs in Chicago, IL look for?

The top searched job categories for Evaluation Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Evaluation Engineer jobs?

Cities near Chicago, IL with the most Evaluation Engineer job openings:

Evaluation Engineer jobs near you
Infographic showing various Evaluation Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,322 per year, or $63.6 per hour.

AI Agent Evaluation Engineer - Remote

YO AI Labs

Chicago, IL • Remote

$80 - $120/hr

Full-time

Posted 11 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.