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Machine Learning Qa Jobs in Texas (NOW HIRING)

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 ...

Validate AI and machine learning solutions, including accuracy, model behavior, data quality ... Our Lead Quality Assurance jobs earn between $106,100.00 - $178,200.00 USD Annual. Not to mention ...

New

Knowledge of or experience in building production quality and large-scale deployment of applications related to natural language processing and machine learning. * Understanding of Deep Learning and ...

New

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... quality and performance of AI systems through testing and validation EXPERIENCE AND KNOWLEDGE ...

Machine Learning Engineer

Austin, TX · On-site

$100 - $125/hr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... quality and performance of AI systems through testing and validation**EXPERIENCE AND KNOWLEDGE ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... their quality of life. About You: * Experience writing production-level C/C++/Rust and Python

Showing results 21-40

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Quality Assurance (QA) Analyst

Fort Worth, TX • On-site

University of North Texas System
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 21 days ago


Job description

Quality Assurance (QA) Analyst

Apply now Job no: 514157
Work type: Staff
Location: Fort Worth
Categories: Compliance

Title: Quality Assurance (QA) Analyst

Employee Classification: QA Analyst

Campus: University of North Texas - Health Science Center

Division: HSC-Div of Rsrch & Innovation

SubDivision-Department: HSC-Health Institutes & Centers

Department: HSC-Center for Human ID-304600

Job Location: Fort Worth

Salary: Grade 10

FTE: 1.000000

Retirement Eligibility: TRS Eligible

About Us - Values Overview

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
 
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
 
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
 

Department Summary

The Center for Human Identification (CHI) at UNT Health is an accredited forensic lab designated as a criminal justice agency by the state of Texas. Globally recognized for its expertise, CHI offers forensic DNA testing, forensic genetic genealogy (FGG), CODIS operations, anthropological analysis, investigative support, cutting-edge research initiatives, and forensic training and education.  CHI was the first public lab in the nation accredited to perform forensic genetic genealogy (FGG) and manages the Texas Missing Persons DNA Database.

Position Overview

The Quality Assurance Analyst is part of the Quality Management team, led by the Quality Director (QD). This position will assist the Director and Assistant Quality Director (AQD) in ensuring the highest level of quality assurance and quality control for CHI's labs, by supporting their efforts to manage and implement the requirements of the accreditation programs and standard practices for the Center.

Minimum Qualifications

Bachelors and two (2) years of experience, or any equivalent combinations of education and experience.

Knowledge, Skills and Abilities

  • Strong attention to detail and time management skills.
  • Ability to work independently.
  • Ability to organize and prioritize tasks.
  • Willingness to acquire aptitude in general laboratory procedures, techniques, and documentation.
  • Ability to keep records, assemble and organize data, and prepare reports in acceptable formats.
  • Ability to communicate effectively orally and in writing.
  • The ability to evaluate complex language and seek out guidance on interpretation questions relating to local policies and laws.

Preferred Qualifications

Forensic DNA laboratory technical and/or quality assurance experience.

Job Duties

  • Assist with quality assurance and quality control documentation for proficiency testing, corrective actions, and internal and external audits under the direction of the Quality Director and Assistant Director. 
  • Assist with the documentation, review and ongoing monitoring of quality incidents and corrective actions. 
  •  Assist with notifications to legal stakeholders. 
  • Import and organize quality assurance and quality control documentation into Qualtrax. 
  • Assist with Quality Working Group (QWG) meetings and projects. - (Essential)
  • Assist QD and AQD with documentation for internal audits, gap assessments, and annual management review. 
  • Assist with quality- and lab safety-related training for lab employees. 
  • Assist with monthly and annual equipment assessments and quality checks. 
  • Assist with annual equipment inventory audits to ensure equipment, reagents and supplies meet required accreditation standards for quality assurance.

Physical Requirements

  • Communicating with others to exchange information.

Environmental Hazards

  • No adverse environmental conditions expected.

Work Schedule

8:00a - 5:00p, M-F, with option for modified schedule

Driving University Vehicle

No

Security Sensitive

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted. Employment at the Center for Human Identification is contingent upon your agreement to provide a DNA sample for purposes of quality control to detect sample contamination.

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit -and takes actions to prevent - discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.

Advertised: 22 May 2026 Central Daylight Time
Applications close:

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