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Ai Qa Jobs in Spring, TX (NOW HIRING)

Ezee Fiber

Analyst, Quality Assurance

Houston, TX · On-site

This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ... Quality Assurance and Operations teams. * Generate, analyze, and distribute quality performance ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX

The Quality Assurance (QA) Analyst is responsible for evaluating the quality, consistency, and ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX · On-site

JOB SUMMARY The Quality Assurance (QA) Analyst is responsible for evaluating the quality ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Ezee Fiber

Analyst, Quality Assurance

Houston, TX

JOB SUMMARY The Quality Assurance (QA) Analyst is responsible for evaluating the quality ... This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship ...

Empower Pharmacy

Director, Quality Assurance

Houston, TX · On-site +1

Leveraging AI-enabled analytics, predictive monitoring, and digital quality systems, the position ... Leads Quality Assurance operations ensuring compliance with FDA regulations, cGMP requirements, and ...

Empower Pharmacy

Director, Quality Assurance

Houston, TX · On-site

Leveraging AI-enabled analytics, predictive monitoring, and digital quality systems, the position ... Leads Quality Assurance operations ensuring compliance with FDA regulations, cGMP requirements, and ...

JobRx, Inc.

Director, Quality Assurance

Houston, TX · On-site

$150 - $190/hr

Leveraging AI-enabled analytics, predictive monitoring, and digital quality systems, the position ... Leads Quality Assurance operations ensuring compliance with FDA regulations, cGMP requirements, and ...

Worley

Nuclear Quality Assurance Manager

Houston, TX · On-site

Leveraging extensive experience and AI-enabled delivery, we support customers in navigating ... The Nuclear Quality Assurance (QA) Manager is responsible for establishing, implementing, and ...

Artidis

Quality Assurance Manager

Houston, TX · On-site

$80 - $100/hr

The Quality Assurance Manager reports to the Head of Quality Management. Duties and ... Digital Native, with experience in using AI for QMS purposes. * Good Hands-on practice of ...

ARTIDIS

Quality Assurance Manager

Houston, TX · On-site

The Quality Assurance Manager reports to the Head of Quality Management. Duties and ... Digital Native, with experience in using AI for QMS purposes. * Good Hands-on practice of ...

Artidis

Quality Assurance Manager

Houston, TX · On-site

The Quality Assurance Manager reports to the Head of Quality Management. Duties and ... Digital Native, with experience in using AI for QMS purposes. * Good Hands-on practice of ...

CommuteAir

Quality Assurance Auditor

Houston, TX · On-site

No AI system independently determines candidate eligibility or makes hiring decisions. All ... Perform investigations of accidents, incidents, etc. at the request of the Quality Assurance ...

Sogeti

Quality Assurance Analyst

Houston, TX · On-site

$70K - $80K/yr

Details About the job: * QA Testing Opportunity What you will do at Sogeti: * Develop and execute ... AI, data and automation. Become Your Best | www.sogeti.us Disclaimer Capgemini is an Equal ...

Hitachi

Senior QA group Lead

Houston, TX · On-site

Knowledge and Certification in AI tools like CoPilot will be preferred.Your background * Bachelor ... In-depth knowledge of quality assurance programs, procedures, and regulatory agency guidelines ...

Hitachi, Ltd.

Senior QA group Lead

Houston, TX · On-site

Knowledge and Certification in AI tools like CoPilot will be preferred.Your background * Bachelor ... In-depth knowledge of quality assurance programs, procedures, and regulatory agency guidelines ...

Hitachi

R&D Quality Assurance Manager

Houston, TX · On-site +1

You'll define the QA vision and turn it into action: quality improvement plans, test strategies ... Explore AI and industry trends to enhance quality assessment and efficiency. * Foster a learning ...

AgileEngine

QA/Support Engineer ID80988

Houston, TX · On-site

We rank among the leaders in areas like application development and AI/ML, and our people-first ... ABOUT THE ROLE We are looking for a QA/Support Engineer to author and QA AI-driven automations ...

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All JobsAi Qa JobsAi Qa Jobs in Spring, TX

Ai Qa information

See Spring, TX salary details

$10

$35

$63

How much do ai qa jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai qa in Spring, TX is $35.71, according to ZipRecruiter salary data. Most workers in this role earn between $25.05 and $43.85 per hour, depending on experience, location, and employer.

What is an AI QA?

AI QA (Artificial Intelligence Quality Assurance) professionals are specialists who test and validate machine learning models, AI systems, and related software to ensure they function correctly, reliably, and ethically. They design test cases, evaluate model accuracy, check for biases, and verify compliance with regulatory standards. AI QA experts work closely with data scientists, developers, and product managers to identify issues and improve system performance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as an AI QA?

To thrive as an AI QA specialist, you need strong analytical skills, knowledge of software testing methodologies, and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with testing frameworks like Selenium or PyTest, version control systems like Git, and tools such as TensorFlow or PyTorch for model validation is often required. Attention to detail, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure the reliability, fairness, and safety of AI systems, which is critical for delivering trustworthy and high-quality AI solutions.

How does an AI QA engineer typically collaborate with data scientists and developers during the model development lifecycle?

AI QA engineers work closely with data scientists and developers throughout the AI model development process. They often participate in sprint planning and daily stand-up meetings to align on testing strategies, clarify requirements, and address potential model issues early. Their responsibilities include designing test cases for model accuracy, fairness, and robustness, as well as validating data pipelines and deployment workflows. Effective communication and a proactive approach are essential, as AI QA engineers help ensure the final model meets quality standards and integrates smoothly into production environments.

What is the difference between Ai Qa vs Data Analyst?

AspectAi QaData Analyst
Required CredentialsTypically certifications in AI, QA, or software testingBachelor's degree in data science, statistics, or related fields
Work EnvironmentTech companies, software development teams, AI-focused projectsBusiness, finance, healthcare, and various industries analyzing data
Employer & Industry UsageTech firms, AI startups, software companiesCorporations across multiple sectors, consulting firms
Common Search & Comparison IntentUnderstanding roles in AI quality assuranceAnalyzing data to inform business decisions

Ai Qa specialists focus on testing and ensuring the quality of AI systems, often requiring knowledge of AI tools and testing protocols. Data Analysts interpret data to generate insights, requiring skills in data visualization and statistical analysis. While both roles work with data and technology, Ai Qa emphasizes quality assurance in AI development, whereas Data Analysts focus on data interpretation for decision-making.

How to become an AI QA tester?

To become an AI QA tester, you should have a strong understanding of software testing principles, familiarity with AI and machine learning concepts, and experience with testing tools and scripting languages. Gaining knowledge of AI models, data validation, and quality assurance processes is essential, and certifications in software testing or AI can enhance your qualifications.

What are popular job titles related to Ai Qa jobs in Spring, TX?

For Ai Qa jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Ai Qa jobs in Spring, TX look for?

The top searched job categories for Ai Qa jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Qa jobs?

Cities near Spring, TX with the most Ai Qa job openings:

Ai Qa jobs near you
Infographic showing various Ai Qa job openings in Spring, TX as of August 2026, with employment types broken down into 52% Full Time, 16% Part Time, and 32% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $74,281 per year, or $35.7 per hour.

Analyst, Quality Assurance

Houston, TX • On-site

Ezee Fiber
Telecommunications • 51 - 200 employees

8.1

Company rating: 8.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

25th of 99 rated telecommunications companies

Great coworkers

People enjoy working here

Good employer

Learn more about Ezee Fiberexternal

Full-time

Re-posted 5 days ago

Job description

Overview

At Ezee Fiber, our success is built on delivering Speed, Simplicity, and Service in everything we do. Guided by our core values of Integrity, Compassion, Accountability, and Collaboration, we empower our employees to do the right thing, support one another, take ownership of their work, and work together to deliver exceptional experiences for our customers and the communities we serve.


Responsibilities

The Quality Assurance (QA) Analyst is responsible for evaluating the quality, consistency, and effectiveness of customer interactions handled by internal customer service representatives in a fiber telecommunications contact center.

This role ensures representatives deliver exceptional customer experiences while adhering to company policies, service standards, and regulatory requirements.

The QA Analyst partners with supervisors, trainers, operations leadership, and cross-functional teams to identify coaching opportunities, improve performance, drive operational excellence, and support continuous process improvement. This individual will also leverage Artificial Intelligence (AI) tools and Customer Relationship Management (CRM) platforms to analyze customer interactions, identify trends, improve quality processes, and present actionable trends and insights to the leadership team.


Qualifications

  • Monitor and evaluate customer interactions, including phone calls, chats, emails, and other communication channels, using established quality standards.
  • Conduct accurate and timely quality evaluations while maintaining consistency, fairness, and objectivity.
  • Provide detailed, actionable feedback to supervisors and leadership to support coaching and employee performance improvement.
  • Identify trends in customer interactions, knowledge gaps, recurring customer issues, and process opportunities that impact customer satisfaction and operational efficiency.
  • Participate in quality calibration sessions with Contact Center and Training Department Management Staff to ensure consistency scoring across the Quality Assurance and Operations teams.
  • Generate, analyze, and distribute quality performance reports, scorecards, dashboards, and trend analyses.
  • Partner with Training, Operations, Customer Experience, and Leadership to recommend improvements to procedures, knowledge resources, AI prompts, and customer service practices.
  • Verify adherence to company policies, compliance requirements, and established call handling procedures.
  • Assist in root cause analysis of recurring customer issues, escalations, and service failures. Prepare Weekly and monthly reporting for Leadership.
  • Maintain accurate documentation of evaluations, coaching recommendations, quality metrics, and process improvement initiatives.
  • Support special quality initiatives, process audits, and continuous improvement projects.
  • Promote a culture of continuous improvement, accountability, and customer-focused service excellence.

Artificial Intelligence (AI) & Technology Responsibilities

  • Utilize AI-powered tools such as ChatGPT, Claude, Genesys AI, and other conversational AI platforms to improve quality evaluations, summarize customer interactions, identify trends, and enhance operational efficiency.
  • Partner with leadership to identify opportunities for AI integration that improve customer experience, quality monitoring, knowledge management, and agent performance.
  • Evaluate AI-generated insights and recommendations to ensure accuracy, compliance, and alignment with company standards.
  • Assist in developing, testing, and refining AI prompts and workflows that support quality assurance, coaching, reporting, and operational processes.
  • Stay informed on emerging AI technologies, contact center innovations, and industry best practices, recommending solutions that improve business outcomes.
  • Demonstrate sound judgment when leveraging AI by validating outputs and ensuring data privacy, confidentiality, and regulatory compliance.

What Ezee Fiber employees say

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Benefits

Hours and flexibility

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