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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 ...

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 ...

Jobtailor

Full Stack AI Engineer

Plano, TX · On-site

$120 - $165/hr

... testing, and debugging. * Conceptual familiarity with system architecture and cloud platforms (e.g., AWS, Azure, or GCP). * Experience integrating, or a strong interest in integrating, generative AI ...

Morgan Stanley

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 ...

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 ...

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Generative Ai Testing information

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How much do generative ai testing jobs pay per hour?

As of Aug 28, 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, 80% Full Time, 15% Part Time, 3% 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 LangGraph experience

Plano, TX • On-site

Droisys
Software Development • 201 - 500 employees
Learn more about Droisysexternal

Full-time

Re-posted 5 days ago

Job description

Overview:
About Company,
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.
Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.
Generative AI Engineer with LangGraph experience
Plano, TX- Fully Onsite from Day-1
Core Technical Skills:
  • Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
  • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
  • Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
  • Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
  • Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
  • API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
  • Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
  • Ability to develop workflow automation via an agentic framework.
  • Azure experience preferred.

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
Skills:
OpenAI GPT,LLM,PyTorch

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