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Generative Ai Testing Jobs in Florida (NOW HIRING)

Incubator Lab

Video Editor

Miami, FL · On-site +1

$1.5K - $5.0K/wk

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 ...

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 ...

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 ...

LexisNexis

Senior Data Scientist II

Boca Raton, FL

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... testing, documentation, code reviews, and performance optimization. * Communicate analytical ...

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 ...

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 ...

LexisNexis

Senior Data Scientist II

Boca Raton, FL · On-site

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... testing, documentation, code reviews, and performance optimization. * Communicate analytical ...

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Generative Ai Testing information

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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Video Editor

Incubator Lab

Miami, FL • On-site, Remote

$1.5K - $5.0K/wk

Contractor

Posted 28 days ago

Job description

VIDEO EDITOR (PAID MEDIA & GENERATIVE AI)
at IncubatorLab Remote - Worldwide
IncubatorLab is looking for an exceptional, AI-driven Video Editor to join our thriving performance team!
Role Objective:
As a Video Editor at IncubatorLab, you will create and edit short-form paid social ads designed to drive performance across platforms such as Meta, TikTok, and YouTube. This role is built for editors who master the intersection of generative AI workflows, advanced prompting, and conversion-focused storytelling-taking concepts from raw script to high-performing final ad.
What You'll Do:
  • Script-to-Ad Execution: Take raw scripts and concepts and build complete, high-converting video ads using a blend of stock, UGC, and AI assets.
  • AI Asset Generation & Prompting: Utilize generative AI tools to prompt and generate custom visuals, AI animations, cartoon/stylized graphics, and hyper-realistic synthetic video assets tailored to specific brand angles.
  • Edit & Iterate Paid Ads: Edit short-form paid social video ads and rapidly iterate variations based on real-time performance insights.
  • Apply Direct-Response Best Practices: Structure aggressive hooks, fast pacing, pattern interrupts, and clear CTAs optimized for social feeds.
  • Collaborate Asynchronously: Partner closely with Creative Strategists and Growth teams in Notion and Slack to test winning creative angles.

Requirements we are looking for:
  • Deep Generative AI Proficiency: Hands-on mastery of cutting-edge AI suites, including Higgsfield AI, Omni AI, HeyGen, Midjourney, Runway, Kling, and ElevenLabs.
  • Advanced Prompting Skills: Proven ability to write precise prompts to build both hyper-realistic visual assets and engaging cartoon/stylized animations directly from a script.
  • Project Workflow & Management: Proficiency working inside Notion for task management, async reviews, and asset handoffs.
  • Conversion-Focused Portfolio: A portfolio demonstrating high-performing paid social ads built for e-commerce brands (bonus points for health, wellness, and supplement experience).
  • Editing Fundamentals: Mastery of pacing, pattern interrupts, color correction, audio mixing, captioning, and sound design.
  • Communication & Remote Fit: Strong written English skills with the ability to work asynchronously in a fast-paced environment.

Working Hours: Async-First We are a global, remote team. We don't care when you do the work, provided deadlines are met and the quality is top-tier. We do ask for a few hours of overlap with US-based EST working hours each day to facilitate team meetings and Slack communication. This ensures we stay agile and can iterate on winning ads in real-time.
HOW TO APPLY
We value high-retention storytelling and creative AI execution over traditional cinematic editing. To apply, submit a link to your portfolio highlighting your work with DTC, UGC-style, or Direct Response video ads.
We specifically want to see:
  1. Generative AI Workflow: Examples showing custom AI-generated visuals (both realistic and cartoon/stylized) prompted directly from scripts or storyboards using tools like Higgsfield AI, Omni AI, or HeyGen.
  2. The First 3 Seconds: Scroll-stopping hooks that combine AI visuals, UGC, or text overlays to lock in attention immediately.
  3. Pacing & Pattern Interrupts: High-retention edits using quick cuts, zooms, captions, and sound design.
  4. Iteration Testing: Examples of multiple iterations of the same ad (e.g., different AI hooks or visual styles).

Note: Please submit a direct-response performance reel. Long-form documentaries, wedding films, or traditional cinematic shorts will not be reviewed.
What's atypical about the company:
Incubator Labs is a performance-focused growth organization that builds and scales brandsthrough rapid experimentation, creative iteration, and disciplined execution. We operate as an internal growth engine, not an agency.
Application Process:
Interested candidates should apply directly for consideration. Upon submitting your application, our hiring team will review your credentials and will notify you if you are selected to participate in the interview process. We appreciate your interest in IncubatorLab and kindly ask that you refrain from inquiries to our teams via LinkedIn.
No third party or agency submissions will be accepted
IncubatorLab is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants for employment regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. If you have a disability or special need that requires accommodation, please feel free to contact us.

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