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Generative Ai Testing Jobs in Florida (NOW HIRING)

Valley Bank

AI Engineer

Saint Petersburg, FL · On-site

Perform testing, monitoring, and optimization of deployed automation and AI solutions to ensure ... Exposure to Generative AI (LLMs, prompt engineering, copilots, or AI assistants). * Experience ...

Incubator Lab

Video Editor

Miami, FL · On-site +1

$1.5K - $5.0K/mo

VIDEO EDITOR (PAID MEDIA & GENERATIVE AI) at IncubatorLab Remote - Worldwide IncubatorLab is ... Iteration Testing: Examples of multiple iterations of the same ad (e.g., different AI hooks or ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL · On-site

Lead the integration and optimization of OCR technology and generative AI capabilities into the ... B testing of model variants, drift detection on document distributions, and comprehensive ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Lead the integration and optimization of OCR technology and generative AI capabilities into the ... B testing of model variants, drift detection on document distributions, and comprehensive ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL

Lead the integration and optimization of OCR technology and generative AI capabilities into the ... B testing of model variants, drift detection on document distributions, and comprehensive ...

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Lead the integration and optimization of OCR technology and generative AI capabilities into the ... B testing of model variants, drift detection on document distributions, and comprehensive ...

KPMG US

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

Responsibilities : • Develop and implement core components of generative AI solutions, including ... and testing specific modules • Collaborate with AI engineers and other data scientists to ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL · On-site

Lead the integration and optimization of OCR technology and generative AI capabilities into the ... B testing of model variants, drift detection on document distributions, and comprehensive ...

Align HCM

Dayforce Solution Architect

Saint Petersburg, FL · On-site +1

$60.50 - $79.50/hr

... testing, data conversion, integration, and go-live. * Interpret client business objectives and ... Leverage generative AI tools (e.g., GitHub Copilot, Claude, ChatGPT) and AI-assisted development ...

Accenture

Senior Data Scientist

Miami, FL · On-site

... generative AI, agentic AI, and decision-science problem statements. * Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive ...

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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 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 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:

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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Full Stack Developer (AI Focus)

Zendrop

West Palm Beach, FL • On-site

Full-time

PTO

Re-posted 7 days ago

Job description

About Zendrop:
Zendrop is a fast-growing US-based dropshipping platform that helps entrepreneurs easily start and scale their online stores. Thousands of merchants use our tools to streamline logistics, improve customer experience, and grow revenue.
At Zendrop we move fast, take ownership, and care deeply about results. Our core values - Speed Over Perfection, Results Driven, and Extreme Ownership guide every decision we make.
We act quickly and focus on what truly moves the needle. We're driven by outcomes, not checkboxes, and we take full responsibility from start to finish. Every team member has the autonomy to make an impact and the accountability to see it through.
If you're someone who thrives in a fast-paced, high-ownership environment where progress matters more than perfection, you'll fit right in.
Description:
We're looking for an AI-first Full-Stack Developer who ships product end-to-end - Laravel on the backend, Vue 3 on the frontend - and treats AI as the primary way to get there. This role is focused on building merchant-facing tools where speed, creativity, and AI-native workflows matter more than traditional engineering process.
Our team already builds with AI agents, vibe coding, and AI-driven testing daily. Cursor, Claude Code, Copilot, and Codex are standard kit. We're not looking for someone to introduce AI to the team - we need someone who's already further ahead and can keep pushing the ceiling on what's possible when you combine a strong full-stack foundation with cutting-edge AI workflows.
The project:
https://zendrop.com/
«We are more interested in bright developers with aspirations and burning desire to work, than in specific skills.»
Location:
This is a hybrid role based in West Palm Beach. Candiates must be able to be in the office at least 3 days per week.
What You'll Do
  • Ship full-stack features end-to-end - from Laravel API to Vue 3 UI - using AI-native workflows as your default mode of building
  • Build merchant-facing tools that leverage AI to generate creative assets, automate workflows, and solve real e-commerce problems
  • Vibe code aggressively - prototype fast, validate with real users, iterate. Speed over perfection, always
  • Stay ahead of the AI tooling curve - evaluate new coding agents, testing frameworks, and generation tools, then bring the best ones into the team's stack
  • Own quality for AI-generated code - establish review practices, testing standards, and guardrails that let us ship fast without breaking things
  • Collaborate with product, design, and backend teams to turn ideas into shipped features quickly

Tech Stack
  • Backend: Laravel (PHP 8+), PostgreSQL, Redis, REST APIs
  • Frontend: Vue 3, Pinia, Vue Router, Tailwind, Sass
  • Build: Laravel Mix, Webpack
  • AI Tools: Cursor, Claude Code, GitHub Copilot, OpenAI Codex, AI testing frameworks
  • Infrastructure: AWS, Docker, CI/CD

What We're Looking For
  • Demonstrated, daily use of AI coding tools (Cursor, Claude Code, Copilot, Codex, or similar) - not just experimenting, actually shipping with them
  • Full-stack experience with Laravel + a modern JS framework (Vue preferred, React acceptable)
  • Deep curiosity about AI-driven development - you follow the space, try new tools the week they drop, and have opinions on what actually works
  • Experience with AI agents for coding, AI-driven testing, or vibe coding workflows
  • 3+ years of professional full-stack development with solid PHP and JavaScript/TypeScript fundamentals
  • Comfortable designing REST APIs, working with relational databases, and managing state on the frontend
  • Ability to read, review, and improve both human-written and AI-generated code

Nice to Have
  • Experience building AI-powered product features (generative content, recommendation engines, automation tools)
  • Familiarity with e-commerce platforms (Shopify, Clickfunnels, fulfillment systems)
  • Experience integrating LLM APIs (OpenAI, Anthropic, etc.) into production applications
  • Experience with queue systems, event-driven architecture, or background job processing in Laravel

How We Think About AI
AI-driven development isn't aspirational at Zendrop - it's already how we work. Our engineers ship with AI tools daily and our designers vibe code frontend components. We're hiring someone who operates at the frontier and keeps us there:
  • Use AI agents and coding assistants as your primary development workflow, not a side tool
  • Push the boundaries of what's possible - automate testing, generate full features, prototype at speed
  • Bring engineering judgment to AI outputs - know when to trust, when to verify, and when to override
  • Keep our AI-native engineering culture on the cutting edge - we're already there, we need someone who keeps us ahead

Benefits:
  • Flexible PTO
  • Career development and growth opportunities
  • A collaborative and inclusive work environment
  • Work on AI-powered product features that ship directly to thousands of merchants - not internal tooling, real customer impact

The Interview Process:
1 Intro conversation with our HR Manager
2 Conversation with our Tech Lead and CTO
3 Conversation with our Co-Founder / CTO of our parent company
We look forward to speaking with you!

Apply