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Machine Learning Qa Jobs in Texas (NOW HIRING)

... machine-learning-informed quality reviews. • Collaborate with Training and Operations teams to address quality trends and identify skill gaps, using AI insights to guide decision-making and ...

QA QC Supervisor

Plano, TX · On-site

$58K - $76K/yr

The QA/QC Supervisor leads a team of Quality Analysts and Coordinators to ensure high service ... Ensure consistency in evaluation through calibration sessions and machine-learning-informed quality ...

Monitor data quality, model performance, and operational effectiveness of machine learning solutions. Required Qualifications * 5-7 years of hands-on experience in machine learning engineering and ...

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

Who We Are: QA Group is a high-growth, high-value company serving the skills and talent needs of ... With a $350 million ARR and 40% year-on-year growth, QA is a household name for learning and e ...

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

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Machine Learning Qa information

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How much do machine learning qa jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for machine learning qa in Texas is $41.81, according to ZipRecruiter salary data. Most workers in this role earn between $34.04 and $50.82 per hour, depending on experience, location, and employer.

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.

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 are popular job titles related to Machine Learning Qa jobs in Texas? For Machine Learning Qa jobs in Texas, the most frequently searched job titles are:
Infographic showing various Machine Learning Qa job openings in Texas as of June 2026, with employment types broken down into 43% Full Time, 54% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $86,958 per year, or $41.8 per hour.
QA/QC Supervisor

Other

Posted 12 days ago


Job description

About Cogent Infotech
At Cogent Infotech, we believe in creating opportunities that empower individuals and transform organizations. With over 21 years of excellence in consulting and talent solutions, we pride ourselves on building inclusive workplaces and driving innovation in everything we do. Our diverse teams bring unique perspectives to help deliver cutting-edge solutions to global clients across both public and private sectors.

Title:  QA/QC Supervisor
Location: Plano, TX 75093
Employment Type: Direct Hire/Full Time

Position Summary
The QA/QC Supervisor leads a team of Quality Analysts and Coordinators to ensure high service standards across all customer interactions. This role blends traditional quality assurance with modern tools like AI and automation to improve processes and outcomes. Reporting to senior leadership, the Supervisor supports team development through coaching and performance reviews, and uses data to identify trends and drive improvements. Known for strong leadership and a focus on innovation, the Supervisor works closely with other departments to maintain quality, boost efficiency, and enhance the customer experience.

Key Responsibilities
Team Leadership & Staff Development

•         Supervise daily operations of the QA/QC team, including scheduling, task prioritization, and workload delegation.

•         Conduct coaching sessions, performance appraisals, and professional development plans.

•         Support hiring, onboarding, and training initiatives, including upskilling staff on AI-based tools and technologies.

•         Promote a high-performance team culture through motivation, recognition, and accountability.

Quality Assurance, AI Integration & Compliance

•         Develop, maintain, and implement QA programs, SOPs, and scorecards, including those that leverage AI-based monitoring or transcription tools.

•         Oversee quality audits across all business lines (phone, in-person, email, chat, etc.), utilizing AI for real-time and post-interaction sentiment and compliance analysis.

•         Ensure consistency in evaluation through calibration sessions and machine-learning-informed quality reviews.

•         Collaborate with Training and Operations teams to address quality trends and identify skill gaps, using AI insights to guide decision-making and coaching focus.

•         Performance Monitoring, Analytics & Reporting

•         Analyze service performance data using AI-enhanced analytics to identify trends, risks, and improvement opportunities.

•         Implement predictive analytics to proactively address quality or compliance concerns.

•         Prepare and present regular reports to management with actionable insights, including AI-driven dashboards and KPIs.

•         Track KPIs and ensure alignment with departmental and organizational quality goals, supported by intelligent automation.


Customer Experience & Intelligent Issue Resolution

•         Respond to escalated issues, ensuring timely and effective resolution, potentially aided by AI-driven triage systems.

•         Use customer, staff, and AI-generated feedback to enhance service delivery and QA processes.

•         Drive improvements in customer interactions by updating protocols, scripting, and knowledge base content, leveraging AI to optimize wording, tone, and clarity.


Communication, Collaboration & Change Leadership

•         Lead team meetings, huddles, and one-on-ones to ensure alignment and open communication, including change management around new AI tools or processes.

•         Serve as liaison between the QA/QC team and other departments to strengthen inter departmental collaboration and support digital transformation.

•         Promote a culture of continuous feedback and improvement, supported by both human and AI-assisted evaluation methods.

•         Maintain composure and effectiveness under job-related stress, including multi-tasking, high work volumes,

•         AI adoption curve, and dynamic customer or staff interactions.


Minimum Required Qualifications

•         Associate’s degree

•         3-5 years’ experience

•         Experience with call monitoring software programs (Nice, Verint, Five 9, etc)

•         Familiarity with AI-powered QA platforms or interest in learning

•         Effective written and verbal communication skills

•         Proficient in Microsoft Office Suite (Excel, Word, Outlook)

•         Valid driver’s license


Preferred Qualifications

•         Bachelor’s degree or equivalent work experience

•         3 – 5 years’ Supervisory experience

Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply
Join Us
At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.


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About Cogent Infotech

Sourced by ZipRecruiter

Cogent Infotech, located in Pittsburgh, Pennsylvania, is a leading Information Technology and consulting service provider. The company operates within the technology industry and functions as a comprehensive technology solutions provider. Cogent Infotech has a strong focus on delivering custom IT solutions that streamline operations and drive business growth. Ever since its inception, the company has been at the forefront of digital transformation, driving innovation for its clients worldwide. Their key services range from IT consulting, application development, to data analytics, and staffing solutions. Committed to delivering excellence, their core values include integrity, collaboration, customer focus, innovation, and personal excellence.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Pittsburgh, PA, US

Year founded

2003