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Machine Learning Qa Jobs in Florida (NOW HIRING)

Job Title Quality Assurance Inspector Location Florida - FL 32408 US Panama City Beach, FL 32401 US ... Experience with Coordinate Measuring Machines (CMM) or portable metrology tools (e.g., FARO arm)

To learn more, visit and Quality Assurance Analyst The Mission of the Role Vistrue is looking for a ... learning from, and developing exceptional people • Culture : Entrepreneurial, fast-moving ...

The Quality Assurance Manager is accountable for implementing and verifying their facility ... Our company is dedicated to supporting professional growth by offering continuous learning ...

The Quality Assurance Manager is accountable for implementing and verifying their facility ... Our company is dedicated to supporting professional growth by offering continuous learning ...

Oversee and maintain quality assurance and quality control programs * Conduct regular inspections ... Comfortability with exposure to equipment, machinery, and varying environmental conditions

The Quality Assurance Manager is accountable for implementing and verifying their facility ... Our company is dedicated to supporting professional growth by offering continuous learning ...

The Quality Assurance Manager is accountable for implementing and verifying their facility ... Our company is dedicated to supporting professional growth by offering continuous learning ...

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Machine Learning Qa information

See Florida salary details

$11

$33

$48

How much do machine learning qa jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning qa in Florida is $33.53, according to ZipRecruiter salary data. Most workers in this role earn between $27.31 and $40.77 per hour, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, tuning, and deploying complex models, making complete replacement unlikely in the near term. MLEs also need skills in programming, data analysis, and understanding of algorithms to adapt to evolving AI technologies.

What is a Machine Learning QA job?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

Is AI taking over QA jobs?

AI and automation are increasingly used in quality assurance roles, especially for repetitive testing tasks, but they complement rather than replace QA jobs. Skilled QA professionals who focus on test design, analysis, and complex problem-solving remain essential, and knowledge of automation tools like Selenium or TestComplete enhances employability.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries around $500,000 annually. Compensation often includes base salary, bonuses, and stock options, especially in high-demand markets.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, with a compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and industry experience.

What are the typical daily responsibilities of a Machine Learning QA professional?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Qa position, and why are they important?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What are popular job titles related to Machine Learning Qa jobs in Florida? For Machine Learning Qa jobs in Florida, the most frequently searched job titles are:

QA Analyst - AI/ML Applications

AspireIT Solutions

Belleair Beach, FL • On-site

Other

Posted 7 days ago

New


Job description

Job Title: QA Analyst – AI/ML Applications
Location: Belleair Beach, FL - Onsite
Duration: 6+ months

Job Summary: Seeking a QA Analyst with experience testing AI/ML applications to ensure the quality, accuracy, and reliability of machine learning models, data pipelines, APIs, and LLM-based solutions. Key Responsibilities
  • Design and execute test strategies for AI/ML applications and data pipelines
  • Validate ML model outputs, accuracy, performance, and prediction quality
  • Perform functional, integration, regression, and API testing
  • Test data pipelines, ETL processes, and data quality
  • Validate model behavior, including drift, bias, and edge cases
  • Collaborate with Data Scientists, ML Engineers, and DevOps teams
  • Support UAT, release validation, defect tracking, and QA documentation
  • Develop test automation scripts for AI/ML workflows (preferred)
Required Skills
  • Strong QA experience in functional, regression, integration, and API testing
  • Hands-on experience with JIRA, Rally, QTP/UFT, or similar QA tools
  • Proficiency with Postman and REST API testing
  • Strong SQL and database testing skills
  • Understanding of AI/ML concepts, model lifecycle, and prediction workflows
  • Experience with data validation, ETL, and data quality testing
  • Basic Python scripting skills preferred

Aspire IT Solutions is an equal opportunity employer.
All applicants must submit accurate information; misrepresentation may disqualify candidacy.
This role may require background checks/work authorization verification.
Rate/benefits are negotiable.
Aspire IT Solutions reserves the right to modify or withdraw this posting.