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Generative Ai Testing Jobs in Florida (NOW HIRING)

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL · On-site

... generative AI techniques. Experience with LangChain is a strong plus. * Detail-Oriented: Exhibits precision when developing and testing AI-driven applications. * Team-Focused & Collaborative: Enjoys ...

Rialto Capital

Junior AI Engineer - Co-op

Miami, FL

... generative AI techniques. Experience with LangChain is a strong plus. * Detail-Oriented: Exhibits precision when developing and testing AI-driven applications. * Team-Focused & Collaborative: Enjoys ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent ... Understanding of software engineering best practices including Git, CI/CD, testing, code reviews ...

NTT DATA

Python Gen AI Developer

Jacksonville, FL · On-site

$50 - $62/hr

Integrate generative AI models into production systems and applications, often involving APIs ... prototyping, testing, and training of AI/ML solutions Skills required: * Overall 5+ years of ...

Bealls

AI Specialist

Bradenton, FL · On-site

The AI Specialist supports the development, testing, and adoption of artificial intelligence ... data analysis, automation, or generative AI concepts gained through education, projects ...

Optimum7

AI SEO Specialist Zen Media

Miami, FL · On-site +1

We analyze how brands appear inside generative AI platforms such as ChatGPT, Claude, Gemini, and ... You will work with AI visibility diagnostics, prompt testing frameworks, schema analysis, and long ...

Optimum7

AI SEO Specialist Zen Media

Miami, FL · On-site

We analyze how brands appear inside generative AI platforms such as ChatGPT, Claude, Gemini, and ... You will work with AI visibility diagnostics, prompt testing frameworks, schema analysis, and long ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

Design, develop, and deploy AI/ML and Generative AI solutions that address business and operational ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

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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 software quality assurance. 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.

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 salary of generative AI tester?

The salary of a generative AI tester typically ranges from $70,000 to $120,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in AI and machine learning can earn higher salaries. Certifications in AI or related fields can also influence compensation.

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.

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 tools, testing frameworks, and quality assurance processes is also important. Gaining relevant certifications or training in AI and software testing can enhance your qualifications.

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 popular job titles related to Generative Ai Testing jobs in Florida? For Generative Ai Testing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Florida look for? The top searched job categories for Generative Ai Testing jobs in Florida are:
What cities in Florida are hiring for Generative Ai Testing jobs? Cities in Florida with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Florida as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Python Developer - Generative AI & Cloud (Agentic AI)

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

$45.75 - $63/hr

Other

Posted 7 days ago

Job description

Python Developer – Generative AI & Cloud (Agentic AI)

Location: Tampa, FL and Jersey City, NJ (3 Days onsite/week)

Strong hands-on experience in Python development for AI/ML workloads

Practical exposure to Generative AI models (LLMs, transformers, diffusion models)

Understanding/practical knowledge on Agentic AI frameworks

Experience working with cloud-native AI services on GCP/AWS/Azure

Understanding of privacy-preserving ML techniques and responsible AI practices

Experience working with prompt engineering including tool calling and guardrails

Familiarity with MLOps pipelines, model deployment, and monitoring

Ability to design scalable, production-ready AI solutions

Design, develop, and optimize Python-based AI/ML applications

Build, fine-tune, and deploy Generative AI solutions using modern frameworks

Integrate AI models with cloud platforms and managed AI services

Develop scalable APIs and microservices supporting AI workloads

Collaborate with data scientists, ML engineers, and product teams to deliver end-to-end solutions

Implement CI/CD pipelines ensuring code quality, testing, and security

Monitor and optimize performance, reliability, and cost of cloud AI deployments

Ensure compliance with data privacy, security, and responsible AI guidelines

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