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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 ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

... testing and documentation • Continuous learning in Generative AI-related fields Qualifications : Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

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

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Production AI/ML Systems: Design A/B testing frameworks for generative model comparison and optimization * Build real‑time inference optimization for low‑latency content generation * Implement ...

KPMG US

AI Engineer- Manager

Orlando, FL · On-site

The company is seeking an AI Engineer - Manager to develop generative AI solutions, provide ... for automated testing and deployment • Excellent problem-solving skills; able to communicate ...

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 ...

Accenture

Organization Change Senior Manager - Energy

Miami, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Generative AI thoughtfully to accelerate change delivery, such as developing, testing, and tailoring engagement content, learning assets, and manager enablement, while remaining accountable for ...

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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:

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, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI testing Engineer

Apptad, Inc.

Tampa, FL • On-site, Remote

Full-time

Posted 7 days ago

Job description


We are seeking an AI Testing Engineer to validate and assure quality of AI/ML systems powering real-time contextual advertising on live video streams. The role involves testing multi-modal AI outputs (video + text), ensuring accuracy of detected moments, and automating validation workflows.
This role is critical for native moments validation and system-level QA in a real-time streaming environment.
Key Responsibilities
Validate AI-generated outputs against labelled datasets and expected outcomes
Perform content validation for native moments detection across video streams
Design and implement automated testing frameworks (Python-based)
Build validation harness for:
JSON parsing and comparison
Structured output validation using defined schemas
Conduct multi-modal validation (video, audio, transcript outputs)
Execute system integration and end-to-end testing
Track accuracy metrics, defect logging, and root cause analysis
Automate regression and validation pipelines across datasets
Collaborate with Applied Scientists to validate LLM and GenAI outputs
Work within AWS environment using services such as:
S3 (data storage).Lambda (processing).CloudWatch (monitoring)
Required Skills & Experience:
Strong Python scripting for automation and testing . Experience in AI/ML model validation and QA workflows.
Hands-on with: JSON parsing, schema comparison Data validation pipelines
Experience in testing: Multi-modal AI systems (vision + NLP + audio) LLM outputs and generative AI pipelines. Good understanding of: Structured output validation AI accuracy evaluation techniques Familiarity with AWS cloud environment (S3, Lambda, logging/monitoring) Experience with media/video content analysis workflows preferred Ability to handle mixed manual + automated testing approaches
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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