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Machine Learning Qa Jobs in Texas (NOW HIRING)

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Based on experience As a QA Tester , you will play a key role in ensuring the quality and ... Experience testing AI-powered applications, machine learning features, or conversational AI ...

Success requires reliability, attention to detail, and a commitment to learning core QA practices while escalating issues promptly to supervisors. This individual will be fully cross trained in all ...

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Based on experience As a QA Tester , you will play a key role in ensuring the quality and ... Experience testing AI-powered applications, machine learning features, or conversational AI ...

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

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Machine Learning Qa information

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What job categories do people searching Machine Learning Qa jobs in Texas look for?

The top searched job categories for Machine Learning Qa jobs in Texas are:

Infographic showing various Machine Learning Qa job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

QA Tester

Oxefit Inc

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 2 days ago

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Job description

Title: QA Tester

Team: Cloud Team Part-time or Full-time: Full-time

Locations: Plano

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Salary Range: Based on experience

As a QA Tester, you will play a key role in ensuring the quality and reliability of OxeAI, OxeFit's AI-powered fitness platform, mobile applications, and cloud-based services. Working closely with Product, Engineering, and Design teams, you will execute manual and automated testing, validate new features, identify defects, and help deliver high-quality software releases that provide an exceptional user experience.

Essential Functions:

  • Execute manual and automated testing for OxeAI features, mobile applications, web applications, and cloud services.
  • Create, maintain, and execute detailed test plans, test cases, regression suites, and release validation checklists.
  • Identify, document, reproduce, and track software defects using bug tracking tools while partnering with engineers through resolution.
  • Validate new functionality, API integrations, AI-driven workflows, and user experiences across multiple platforms.
  • Perform functional, regression, smoke, exploratory, and usability testing throughout the software development lifecycle.
  • Collaborate with Product Managers, UI/UX Designers, and Software Engineers to define acceptance criteria and improve product quality.
  • Support release readiness by verifying fixes, monitoring quality metrics, and ensuring production stability.
  • Contribute to QA best practices, testing standards, documentation, and continuous process improvements.
  • Assist with automated testing initiatives and support CI/CD quality gates where applicable.

Education and Experience:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 3–5+ years of experience in Software Quality Assurance, QA Engineering, or Software Testing.
  • Experience testing web, mobile (iOS/Android), and cloud-based applications.
  • Experience testing REST APIs using Postman or similar API testing tools.
  • Strong understanding of software testing methodologies, defect lifecycle management, and Agile development practices.
  • Experience with bug tracking and project management tools such as Jira.
  • Familiarity with SQL or database validation.
  • Excellent analytical, troubleshooting, communication, and documentation skills.

What makes you stand out:

  • Experience testing AI-powered applications, machine learning features, or conversational AI products.
  • Experience with automated testing frameworks such as Playwright, Appium, or similar tools.
  • Familiarity with CI/CD pipelines and automated quality validation.
  • Experience working in fast-paced startup or SaaS environments.
  • Knowledge of performance, security, or accessibility testing.
  • Passion for delivering intuitive, high-quality software experiences.
  • Experience with IDEs, such as Android Studio or Xcode

What you can expect:

  • Equity ownership participation
  • Comprehensive benefit package and employer sponsored memberships
  • A fun, challenging, and engaging start-up environment
  • Agile, self-managed, self-organized teams
  • A culture driven by innovation and team-focused engagement
  • An entity that is committed to personal growth and opportunity
  • Ability to work with cutting-edge and emerging technologies

Work authorization: Must be authorized to work in the United States. OxeFit will not sponsor applicants for employment visas.

EEO Statement:

  • OxeFit, Inc. is an equal opportunity employer that is committed to diversifying its workforce
  • OxeFit, Inc does not discriminate against any applicant for employment, or any employee because of age, color, sex, disability, national origin, race, religion, or veteran status.

The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.

*OxeFit reserves the right to add or change duties at any time.

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Company Description

We're a passionate team of engineers, developers, fitness experts, and disruptors who weren't satisfied with the status quo. We wanted a smarter, more interactive, and community-driven approach to fitness. And when we couldn't find one, we decided to build it ourselves. We are seeking talented and motivated individuals who want new and innovative opportunities in the modern technology sector. Changing fitness, changing lives!

Work authorization: Must be authorized to work in the United States. OxeFit will not sponsor employment visas.