ZipRecruiter

Log In

1

Generative Ai Testing Jobs in Melissa, TX (NOW HIRING)

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical ... Expertise in designing, testing, and optimizing prompts for generative models to achieve desired ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

... Generative * AI, Causal Inference, Time series analysis, Forecasting, Anomaly detection, Hypothesis testing, A/B testing, Git Actions, Tableau, Power BI, ThoughtSpot, Web Scraping * Data ...

Tixy Services LLC

Sr Agentic AI Engineer

Plano, TX · On-site

$117K - $155K/yr

Key ResponsibilitiesAgentic AI & Generative AI Development * Design, prototype, develop, test, and ... Apply software engineering best practices including version control, testing, debugging, code ...

New

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

This role offers hands-on experience building enterprise-grade Generative AI solutions across ... Support testing, debugging, deployment, and monitoring of AI services on Azure. * Document AI ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

This role offers hands-on experience building enterprise-grade Generative AI solutions across ... Support testing, debugging, deployment, and monitoring of AI services on Azure. * Document AI ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks). * Perform testing, validation, and performance tuning for compliance and reliability. * Research and publish ...

NTT DATA, Inc.

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

Design, develop, and implement AI and generative AI solutions across primarily healthcare, life ... Participate in testing, debugging, performance tuning, deployment, documentation, and operational ...

Addison Group

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

... for generative AI. Because the field and team are still evolving, this person must be comfortable learning quickly, testing new approaches, and helping establish technical direction. Key ...

next page

Showing results 1-20

All JobsGenerative Ai Testing JobsGenerative Ai Testing Jobs in Melissa, TX

Generative Ai Testing information

See Melissa, TX salary details

$31

$52

$74

How much do generative ai testing jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for generative ai testing in Melissa, TX is $52.38, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $60.00 per hour, depending on experience, location, and employer.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What cities near Melissa, TX are hiring for Generative Ai Testing jobs?

Cities near Melissa, TX with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Melissa, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $108,940 per year, or $52.4 per hour.

Generative AI Lead Engineer

Cognizant Technology Solutions

Dallas, TX • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
About the role
As a Generative AI Engineer, you will make an impact by designing and building advanced AI-powered applications and scalable solutions using modern technologies such as .NET, React, Python, and large language models (LLMs). You will be a valued member of the engineering team, collaborating with cross-functional stakeholders to drive innovation and accelerate AI adoption across enterprise workflows.
In this role, you will:
  • Design and develop AI-powered web applications using Generative AI tools (e.g., Claude) and modern frameworks (.NET, React, Python)
  • Build and implement agentic AI solutions across the software development lifecycle (requirements, coding, testing, deployment, and code reviews)
  • Develop scalable architectures leveraging Retrieval-Augmented Generation (RAG) and integrate AI models into enterprise systems
  • Design and optimize prompts and orchestration frameworks (e.g., LangChain, LlamaIndex) to improve AI performance and outcomes
  • Deploy and manage AI-enabled applications on Azure, ensuring scalability, reliability, and compliance with enterprise standards
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Dallas, TX, Stamford, CT or Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements.
What you need to have to be considered
  • Strong experience in Generative AI, LLMs, and prompt engineering
  • Hands-on experience building applications using .NET, React, Python, or similar technologies
  • Experience designing AI/ML architectures, including RAG-based pipelines and API integrations
  • Experience with model training, fine-tuning, and optimization for performance, scalability, and cost
  • Knowledge of cloud platforms (Azure preferred) and deploying AI-enabled applications
These will help you stand out
  • Experience with orchestration frameworks such as LangChain or LlamaIndex
  • Exposure to GANs, diffusion models, or advanced generative modeling techniques
  • Understanding of LLMOps, monitoring AI performance, and ensuring ethical and compliant AI usage
  • Experience working with structured and unstructured data pipelines
  • Banking domain experience

Compensation
The annual salary for this position ranges from $120,000 to $140,000, depending on experience and qualifications. This role is also eligible for Cognizant's discretionary annual incentive program, subject to performance and applicable plan terms.
Benefits
Cognizant offers a comprehensive benefits package, including:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Holidays and Paid Time Off
  • 401(k) plan with company contributions
  • Short-term and Long-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer:The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
We're excited to meet people who share our passion for technology and innovation and who can make an impact in a variety of ways. Don't hesitate to apply, even if you meet most-but not all-of the requirements. We value transferable skills, diverse experiences, and fresh perspectives.
This position does not offer visa sponsorship. Candidates must be authorized to work without sponsorship now or in the future, including OPT, CPT, or any other work authorization requiring employer sponsorship.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply