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

ClifyX

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... generative AI models. The role involves hands-on coding, data manipulation, and building GenAI ... including hypothesis testing regression analysis time series analysis and clustering.

ClifyX

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

ClifyX is a company seeking a Gen AI Engineer to develop and implement innovative generative AI ... including hypothesis testing regression analysis time series analysis and clustering.

Select Minds LLC

AI Tools & Testing Architect

Dallas, TX · On-site

$150K/yr

Strong hands-on experience with AI/ML and Generative AI, including: ◦ Large Language Models (LLMs ... Deep understanding of: ◦ Software testing methodologies ◦ QA processes ◦ Test automation ...

CBRE

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

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How much do generative ai testing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for generative ai testing in Dallas, TX is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $60.87 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 are popular job titles related to Generative Ai Testing jobs in Dallas, TX?

For Generative Ai Testing jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Dallas, TX look for?

The top searched job categories for Generative Ai Testing jobs in Dallas, TX are:

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

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

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $110,547 per year, or $53.1 per hour.

GEN AI Engineer

ClifyX

Irving, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
ClifyX is a company focused on innovative AI solutions, and they are seeking a GEN AI Engineer to develop and implement cutting edge generative AI models. The role involves hands-on coding, data manipulation, and building GenAI applications using various NLP and AI technologies.
Responsibilities:
• Strong Data Structures Any Language Code Comprehension Python or Java.
• Ability to do hands on coding in the interview real-time for given scenario with right solution approach.
• Proficient in Data manipulation and cleansing preprocess large datasets handle missing values perform feature engineering ensure data integrity.
• AIML Strong NLP Deep Learning Concepts with transformer architecture understanding.
• LLM fine tuning exposure on one or few leading LLM like Dolly Llama2 or any other.
• Experience in developing and implementing cutting edge generative AI models to solve complex problems.
• Ability to perform prompt engineering and designing right prompts based on functional use cases.
• Should have hands on of NLPAIML tool technologies GPT BERT or other language models.
• Should have experience in building GenAI applications.
• Word Embedding and Vector DB usage with the leading vector DB implementation Pinecone Milvus or Pgvector.
• Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis time series analysis and clustering.
Qualifications:
Required:
• Strong Data Structures Any Language Code Comprehension Python or Java.
• Ability to do hands on coding in the interview real-time for given scenario with right solution approach.
• Proficient in Data manipulation and cleansing preprocess large datasets handle missing values perform feature engineering ensure data integrity.
• AIML Strong NLP Deep Learning Concepts with transformer architecture understanding.
• LLM fine tuning exposure on one or few leading LLM like Dolly Llama2 or any other.
• Experience in developing and implementing cutting edge generative AI models to solve complex problems.
• Ability to perform prompt engineering and designing right prompts based on functional use cases.
• Should have hands on of NLPAIML tool technologies GPT BERT or other language models.
• Should have experience in building GenAI applications.
• Word Embedding and Vector DB usage with the leading vector DB implementation Pinecone Milvus or Pgvector.
• Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis time series analysis and clustering.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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