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Machine Learning Qa Jobs in Texas (NOW HIRING)

... 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.

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Duties include: apply data modeling, machine learning, predictive modeling, and statistical ... Software testing, quality assurance, and troubleshooting;Writing application code and deploying to ...

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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 are the most commonly searched types of Machine Learning Qa jobs in Texas? The most popular types of Machine Learning Qa jobs in Texas are:
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, 76% Full Time, 20% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.
Instructional Designer (eLearning & Curriculum Development)

Instructional Designer (eLearning & Curriculum Development)

Strategic Staffing Solutions

San Antonio, TX • Remote

$58K - $79K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Description Instructional Designer (eLearning & Curriculum Development) Location: Remote Duration: Contract Compensation: Competitive Overview Seeking an Instructional Designer to support the design, development, and delivery of engaging learning solutions for a large enterprise environment. This role will partner closely with Subject Matter Experts (SMEs), stakeholders, and project teams to create effective training programs, eLearning content, and curriculum materials that drive learner engagement and performance. The ideal candidate brings strong instructional design expertise, experience developing online learning content, and the ability to manage multiple projects while meeting deadlines in a fast-paced environment.

Key Responsibilities Design, develop, and maintain instructional materials, eLearning courses, and training curricula Partner with SMEs to gather requirements and translate complex information into effective learning solutions Create storyboards, learning objectives, assessments, and instructional content Develop interactive eLearning modules using Articulate 360 Produce and edit audio, video, and multimedia assets utilizing Adobe Creative Cloud tools Conduct learning needs analysis and recommend instructional strategies and delivery methods Support curriculum development initiatives from concept through implementation Track project milestones, timelines, and deliverables using project management tools Communicate project status, risks, and dependencies to stakeholders Ensure training materials meet quality standards and learning objectives Collaborate with cross-functional teams to support enterprise learning initiatives Perform quality assurance reviews on training content and learning deliverables Required Qualifications 2+ years of Instructional Design experience 2+ years of Curriculum Development experience 2+ years of experience consulting and collaborating with Subject Matter Experts (SMEs) Experience developing eLearning and blended learning solutions Strong knowledge of adult learning principles and instructional design methodologies Excellent communication, collaboration, and stakeholder management skills Strong organizational and project management abilities Ability to manage multiple priorities and deadlines simultaneously Required Tools & Technologies Articulate 360 Adobe Creative Cloud Adobe Premiere Pro Adobe Audition Project Management Software Microsoft Office Suite Preferred Qualifications Claims training experience Insurance industry experience Learning Quality Assurance (QA) experience Experience developing enterprise learning programs Experience supporting remote learning environments Storyboarding expertise Multimedia content development experience Learning management system (LMS) experience Ideal Candidate Profile Experienced Instructional Designer with strong eLearning development capabilities Skilled at partnering with SMEs and translating technical or business content into engaging learning experiences Proactive self-starter who seeks opportunities and takes ownership of projects Strong collaborator and communicator who works effectively across teams Detail-oriented with excellent curriculum development and quality assurance skills Comfortable working independently in a remote environment while managing multiple concurrent projects Target Titles Instructional Designer Senior Instructional Designer Learning Experience Designer (LXD) eLearning Developer Curriculum Developer Learning Consultant Training Developer Learning & Development Specialist Training Instructional Designer Learning Solutions Designer Bonus Experience Claims Training Insurance Operations Learning Quality Assurance Adult Learning Programs Corporate Training Employee Development Programs Enterprise Learning & Development (L&D) Initiatives