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Machine Learning Qa Jobs in Texas (NOW HIRING)

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QA Tester

Plano, TX · On-site

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 ...

Be Seen First

QA Tester

Plano, TX · On-site

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 ...

... Machine Learning (ML), Risk Assessments, Selenium, Technical Knowledge Competencies Accuracy and ... Quality Assurance And Testing Work Experience Roles at this level typically require a university ...

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

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

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and deploying complex models, making complete replacement unlikely in the near term. MLEs also need skills in programming, data analysis, and understanding of algorithms to adapt to evolving AI technologies.

What is a Machine Learning QA job?

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.

Is AI taking over QA jobs?

AI and automation are increasingly used in quality assurance roles, especially for repetitive testing tasks, but they complement rather than replace QA jobs. Skilled QA professionals who focus on test design, analysis, and complex problem-solving remain essential, and knowledge of automation tools like Selenium or TestComplete enhances employability.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries around $500,000 annually. Compensation often includes base salary, bonuses, and stock options, especially in high-demand markets.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, with a compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What are the typical daily responsibilities of a Machine Learning QA professional?

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 are the key skills and qualifications needed to thrive in the Machine Learning Qa position, and why are they important?

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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.
QA Tester

QA Tester

Oxefit Inc

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 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, Cypress, Selenium, 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.


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.