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Generative Ai Testing Jobs in Texas (NOW HIRING)

The role involves prompt engineering, code review, testing, and continuous learning in Generative AI fields. Responsibilities : • AI workflow development • Prompt engineering • Deployment and ...

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 ...

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 ...

... Generative AI|Conversational AI Platform Technical Skills 2 Technology|Generative AI|Prompt ... testing and optimize algorithms for performance, reliability, and scalability, while providing ...

Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. * Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g ...

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 ...

What you'll do in the role: > Advise Wealth Management Generative AI and Platforms teams on AI ... Testing teams. > Collaborate with Policy and Training teams to draft, implement, and maintain ...

VP, AI Compliance Officer

Dallas, TX · On-site

$108K - $185K/yr

What you'll do in the role: > Advise Wealth Management Generative AI and Platforms teams on AI ... Testing teams. > Collaborate with Policy and Training teams to draft, implement, and maintain ...

AI Intern

Austin, TX

$15 - $20/hr

... generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX Role Overview In ...

Required Skills & Experience Strong hands-on experience with AI/ML and Generative AI, including ... Software testing methodologies QA processes Test automation frameworks Experience integrating AI ...

AI agents * Evaluation and testing systems * Observability and performance monitoring * Model ... LLMs * generative AI applications * RAG * agents * model evaluation * observability * data ...

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

A primary focus of this role will be leveraging Generative AI and Agentic AI frameworks to automate ... testing, and infrastructure-as-code for AI solutions. * Optimize existing AI/ML models for ...

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Generative Ai Testing information

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 much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

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 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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

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 job categories do people searching Generative Ai Testing jobs in Texas look for? The top searched job categories for Generative Ai Testing jobs in Texas are:
What cities in Texas are hiring for Generative Ai Testing jobs? Cities in Texas with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Texas as of June 2026, with employment types broken down into 10% Internship, 71% Full Time, 13% Part Time, and 6% Temporary. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution.
Gen AI Engineer

Full-time

Posted 22 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

155th of 204 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Gen AI Engineer to contribute to AI workflow development and deployment of AI models. The role involves prompt engineering, code review, testing, and continuous learning in Generative AI fields.
Responsibilities:
• AI workflow development
• Prompt engineering
• Deployment and maintenance of AI models across all environments including Production.
• Code review, testing and documentation
• Continuous learning in Generative AI related fields
Qualifications:
Required:
• Strong hands-on Python knowledge
• Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
• Working experience in Data Processing, AI enabled workflows using python
• Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
• Basic knowledge of Hybrid prompting technique
• Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.
• Qualifications: BACHELOR OF COMPUTER SCIENCE
Preferred:
• Working experience with Gemini LLM
• Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
• Hands-On knowledge on NLP
• Understanding of model deployment and containerization (Docker).
• Understanding of version control systems (Git).
• Awareness of AI compliance, data privacy, and responsible AI principles
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US