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

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 ...

Gen AI with Python

Dallas, TX · Hybrid

$49.75 - $68.50/hr

Strong understanding of Generative AI, LLMs, and AI/ML concepts. * Experience with LLM platforms ... Strong understanding of software development lifecycle, testing, debugging, and deployment ...

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 ...

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 ...

FullStack Developer with Gen AI

Plano, TX · On-site

$50.50 - $65/hr

We are seeking a seasoned Generative AI Java Developer with expertise in AWS Bedrock and enterprise ... Testing & Tools: Cucumber (BDD), SonarQube, Postman, JIRA, Maven, Gradle, Apache Spark. Operating ...

New

Generative AI Strategy Drive the strategic roadmap for generative AI capabilities within the Help ... The Testing Center is fully onboarded in production, with evaluation coverage scaled well beyond ...

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Define and execute testing strategies for AI applications, including unit testing, workflow ... Generative AI. Required Qualifications * Bachelor's or Master's degree in Computer Science ...

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

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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 13, 2026, the average hourly pay for generative ai testing in Prosper, TX is $49.20, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $56.35 per hour, depending on experience, location, and employer.

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. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

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 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 Prosper, TX look for?

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

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

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

Infographic showing various Generative Ai Testing job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $102,339 per year, or $49.2 per hour.

VP, AI Compliance Officer

Morgan Stanley

Dallas, TX • On-site

$108K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


Job description

We're seeking someone to join our team as a Vice President, Artificial Intelligence Compliance Officer in Wealth Management Compliance to provide second-line oversight, advisory support, and governance for Artificial Intelligence initiatives, including Generative AI, partnering closely with senior business, legal, risk, and technology stakeholders to enable responsible innovation while meeting regulatory and firm requirements.
In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the Innovation, Platforms and Communications Compliance team, which is responsible for providing compliance advice, governance, and oversight for analytics, data, artificial intelligence, generative AI, and platforms activities within Wealth Management.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:
> Advise Wealth Management Generative AI and Platforms teams on AI governance, strategy, data usage, and oversight requirements.
> Review Artificial Intelligence and Machine Learning models and Generative AI, to assess compliance with regulatory rules related to Artificial Intelligence, Consumer Protection, Standards of Care, and Communications with the Public.
> Assess AI against heightened risk considerations, including conflicts of interest, and recommend appropriate controls and mitigations.
> Establish and support ongoing monitoring and testing controls in coordination with Compliance Monitoring and Testing teams.
> Collaborate with Policy and Training teams to draft, implement, and maintain compliance policies and training governing the use of AI technologies.
> Participate in Wealth Management, Firmwide, and Compliance governance committees and forums.
> Prepare management reporting, metrics, and dashboards to inform senior management of key initiatives, risks, and control effectiveness.
> Support regulatory inquiries, internal audits, and examinations (e.g., SEC, FINRA, Internal Audit), including remediation and post-exam action plans.
What you'll bring to the role:?
> Ability to provide compliance advisory support in a second line of defense role for platforms artificial intelligence, and Generative AI initiatives.
> Understanding of regulatory requirements, industry standards, and firm policies related to Artificial Intelligence, predictive analytics, and communications with the public.
> Experience reviewing and assessing traditional Artificial Intelligence, Generative AI and Large Language Models.
> Experience collaborating with business, legal, risk, technology, and model risk management stakeholders.
> Strong analytical, organizational, and attention-to-detail skills, with the ability to manage multiple priorities in a fast-paced environment.
> Demonstrate capacity to work independently and make informed decisions.
> Bachelor's degree in Business, Computer Science, Engineering, Statistics, Mathematics, Risk Management, or a related field.
Typically, 8+ years' relevant experience would generally be expected to find the skills required for this role
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
TEXAS
Expected base pay rates for the role will be between $108,000.00 and $185,000.00 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
MARYLAND
Salary range for the position: $95,000 and $165,000 per year The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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