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Machine Learning Qa Engineer Jobs (NOW HIRING)

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The QA Engineer has the authority and responsibility to accept or reject work items before they count toward sprint acceptance. Our product portfolio includes legacy applications with limited ...

Aiken, SC QA Engineer- QA Engineer will support a multi-year construction project involving significant civil, mechanical, and electrical construction, including grading, storm drainage, demolition ...

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site

$41 - $56/hr

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... Test and validate AI-enabled applications, machine learning integrations, and large language model ...

Quality Assurance Engineer Full Time Fort Worth, TX, US 2 days ago Requisition ID: 1323 Paragon is seeking a Quality Assurance Engineer to join our Fort Worth, Texas team! The Quality Assurance ...

WI · On-site

QUALITY ASSURANCE ENGINEER Office Woodville, WI, US 3 days ago Requisition ID: 1095 Job Summary We are seeking a dynamic and detail-oriented Quality Assurance (QA) Engineer to join our Quality team.

Quality Assurance Engineer WFI International, a leading manufacturer and supplier of integrally reinforced branch connection fittings to the power, oil and gas, chemical, and other industries, is ...

The key focus of the QA Engineer is to develop a quality of process focused across multiple projects. The QA Engineer will collaborate closely with our QA team in Brazil and work in a cross ...

QA Engineer

Pittsburgh, PA · On-site

$65K - $80K/yr

QA Engineer Department: Technology Employment Type: Full Time Location: Pittsburgh Onsite Reporting To: Arun Ravella Compensation: $65,000 - $80,000 / year Description Wolfe is a Pittsburgh-based ...

Quality Assurance Engineer Location: Adairsville, GA Job Id: 942 # of Openings: 1 Quality Assurance Engineer Join Yanmar as a Quality Assurance Engineer Yanmar America is seeking a Quality Assurance ...

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Job Title: QA Engineer Job Location: Nashville, TN Job Type: Contract * 7+ years of experience in Automated QA - TestComplete. * QA testing with AI +ETL

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Machine Learning QA Engineer information

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$18

$48

$78

How much do machine learning qa engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for machine learning qa engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What is a machine learning QA engineer?

Machine Learning QA Engineers are professionals who specialize in testing and validating machine learning models and systems. They ensure that machine learning algorithms perform as expected, are reliable, and meet quality standards before deployment. Their role involves developing test cases, automating testing processes, analyzing results, and collaborating with data scientists and software engineers to improve model accuracy and robustness. They also help identify biases, data inconsistencies, and potential issues in the machine learning pipeline.

What are some common challenges faced by machine learning QA engineers when testing AI models, and how are they typically addressed?

Machine Learning QA Engineers often encounter challenges such as ensuring model accuracy across diverse datasets, reproducibility of test results, and validating the fairness and bias of AI outputs. Addressing these issues typically involves developing robust automated test frameworks, collaborating closely with data scientists to understand model behaviors, and implementing rigorous data validation and monitoring processes. Additionally, continuous learning is essential, as ML models evolve rapidly and require QA Engineers to stay updated on new testing methodologies and tools.

What are the key skills and qualifications needed to thrive as a machine learning QA engineer, and why are they important?

To thrive as a Machine Learning QA Engineer, you need a strong grasp of software testing principles, machine learning concepts, and proficiency in programming languages like Python, along with a relevant degree in computer science or engineering. Familiarity with testing frameworks (such as pytest), ML platforms (like TensorFlow or PyTorch), and experience with automated testing tools are typically required. Exceptional analytical thinking, attention to detail, and effective communication skills set standout candidates apart in this role. These skills and qualities are crucial to ensure the quality, reliability, and fairness of machine learning models before they are deployed to production.

What is the difference between Machine Learning Qa Engineer vs Data Scientist?

AspectMachine Learning Qa EngineerData Scientist
Required CredentialsBachelor's in CS, QA certifications, knowledge of ML modelsBachelor's/Master's in CS, statistics, data analysis
Work EnvironmentTesting labs, development teams, QA departmentsResearch, data analysis, modeling teams
Industry UsageTech companies, AI startups, software firmsTech, finance, healthcare, research institutions
Common Search/ComparisonYesYes

While both roles involve working with machine learning, a Machine Learning Qa Engineer primarily focuses on testing and validating ML models to ensure quality and performance. In contrast, a Data Scientist analyzes data, develops models, and derives insights. The roles often collaborate but serve different stages of the ML development lifecycle.

Is a machine learning QA engineer still in demand?

Machine Learning QA engineers are in demand due to the increasing adoption of AI and machine learning systems across industries. They play a critical role in testing and validating models, often requiring skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. As AI integration grows, the need for specialized QA engineers in this field is expected to remain strong.
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Infographic showing various Machine Learning Qa Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $100,970 per year, or $48.5 per hour.

Quality Assurance Engineer

Irondale, AL • On-site

Black Creek Integrated Systems
IT Services • 11 - 50 employees

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

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Key responsibilities

  • Validate software enhancements, features, and bug fixes against business requirements and definition of done standards.

  • Serve as the quality gate by accepting or denying work items in a sprint based on validation and testing.

  • Collaborate with team members to groom work items, review automated test results, and document software defects.


Job description

Position Summary

We are seeking a hands-on Quality Assurance Engineer to serve as the independent quality gate for customer-facing applications. This role is primarily responsible for validating each story and bug deployed to the QA environment satisfies its acceptance criteria and the organizational definition of done. The QA Engineer has the authority and responsibility to accept or reject work items before they count toward sprint acceptance.


Our product portfolio includes legacy applications with limited automated coverage as well as modern cloud applications and APIs with a robust set of automated tests. Development teams use agentic workflows to implement changes and create unit, integration, API, and UI tests. The QA Engineer collaborates with product stakeholders and developers to approve the work items are ready for development, based upon the organization’s definition of ready. During the sprint, the QA Engineer independently evaluates the completed work item, confirms the automated testing provides meaningful evidence, performs risk-based manual and exploratory testing, and identifies regressions that developer testing may have missed. The QA Engineer then serves as the quality gate to accept/deny the work items completion.


Essential Duties & Responsibilities

  • Collaborate with team members to groom work items, size, and approve for development based upon definition of ready standards.
  • Validate software enhancements, features, and bug fixes against business requirements, and definition of done standards.
  • Employ approved agentic workflows to accelerate quality assurance practices and execute day-to-day activities including test planning, exploratory-test design, requirements analysis, investigation, and documentation.
  • Serve as the quality gate, accepting/denying work items in a sprint.
  • Own the QA environment, promoting builds from Development to QA for testing validation.
  • Utilize automation to execute functional, regression, negative, and end-to-end test cases.
  • Review automated test results and identify coverage gaps, regressions, and quality risks.
  • Execute risk-based manual testing for critical workflows.
  • Document software defects with clear reproduction steps and supporting evidence.
  • Collaborate with developers, Product Owners, and stakeholders throughout the Agile development lifecycle.
  • Participate in sprint planning, backlog refinement, reviews, and retrospectives.


Required Qualifications

  • 3+ years of hands-on software quality assurance experience, or equivalent demonstrated capability.
  • Experience working in Agile, sprint based SDLC cadence with typical ceremonies
  • Experience independently validating customer-facing web, mobile, and windows applications.
  • Strong functional, exploratory, regression, negative, and boundary-testing skills.
  • Demonstrated ability to translate requirements and acceptance criteria into effective test cases.
  • Experience making and defending evidence-based accept-or-reject decisions.
  • Ability to use AI coding agents or demonstrated aptitude for agent-assisted workflows.
  • Ability to investigate unfamiliar or poorly documented legacy applications.
  • Experience writing clear, reproducible, and actionable defect reports.
  • Working knowledge of SPA web applications, REST APIs, relational databases and modern identity management.
  • Familiarity with automated UI-testing concepts and frameworks such as Playwright.
  • Experience with API-testing tools such as Bruno or Postman.
  • Experience using browser developer tools for network, console, and client-side investigation.
  • Experience testing mobile applications.
  • Working knowledge and use of Azure DevOps, Git, and CI/CD test results.
  • Strong written communication, critical thinking, organization, and time-management skills.
  • Confidence raising quality concerns and blocking acceptance when requirements are not satisfied.


Working Conditions

  • Must be able to remain in a stationary position at a desk for at least 50% of the time.
  • Be able to occasionally move about inside the office to access office equipment and other resources.
  • Be able to operate a computer and related software for a prolonged period, and use office productivity equipment, such as a calculator, copier, and printer.
  • Be able to engage in repetitive motions, such as typing and using a mouse.
  • Be able to communicate effectively, conveying information and ideas clearly so others can understand. Must be able to exchange accurate information in these interactions.
  • Be able to observe details at close range, e.g. computer screens and printed documents.
  • Be able to travel as needed to job sites.


We are an equal opportunity employer and do not discriminate against any employee or applicant for employment based on race, color, religion, national origin, age, gender, sex, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Company Description

Black Creek Integrated Systems is a leading provider of security and safety solutions, specializing in Real-Time Location Systems (RTLS). Our cutting-edge technology ensures the seamless integration of security and operational systems, empowering organizations to enhance their overall safety and efficiency. As a dynamic and innovative company, we are committed to delivering exceptional solutions that meet the evolving needs of our clients.