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Machine Learning Testing Jobs in Florida (NOW HIRING)

TSMG

AI/ML Data Contributor

Miami, FL · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Miami, FL

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Miami, FL

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Miami, FL · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Miami, FL

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

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All JobsMachine Learning Testing JobsMachine Learning Testing Jobs in Florida

Machine Learning Testing information

See Florida salary details

$10

$17

$23

How much do machine learning testing jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for machine learning testing in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

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

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the most commonly searched types of Machine Learning Testing jobs in Florida? The most popular types of Machine Learning Testing jobs in Florida are:
What are popular job titles related to Machine Learning Testing jobs in Florida? For Machine Learning Testing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in Florida look for? The top searched job categories for Machine Learning Testing jobs in Florida are:
Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $35,472 per year, or $17.1 per hour.
Information Technology_USA - USA_Analyst

Information Technology_USA - USA_Analyst

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 7 days ago

Job description

No Visa candidates, Looking for visa independent Associates. GC/USC only.
2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: NewYork, NY - Remote (once in few months, collaboration meetings scheduled, so associate required to attend for a day or two)
Duration: 6 months
skill id: 10810549
No Visa candidates, Looking for visa independent Associates. GC/USC only.
Competencies[RATE REDACTED]+ years experience required
Digital : Data Science
Digital : Python
Digital : Machine Learning
MySQL
No Visa candidates, Looking for visa independent Associates
Job Description - Data Scientist
Role Summary:
The Data Scientist will be responsible for applying statistical analysis, machine learning, and data mining techniques to solve business problems and generate actionable insights. The role focuses on structured data analytics, predictive modeling, and business decision support using traditional data science methods.
Key Responsibilities
• Perform data exploration, cleaning, and preprocessing on structured and semi-structured datasets
• Develop and implement statistical models and machine learning algorithms (regression, classification, clustering, time series)
• Conduct hypothesis testing and exploratory data analysis (EDA) to identify trends and patterns
• Build predictive and forecasting models to support business decisions
• Translate business requirements into analytical problems and modeling approaches
• Design and execute A/B testing and experimental analysis
• Create data visualizations and dashboards to communicate insights clearly
• Collaborate with business stakeholders to drive data-driven decision making
• Validate model accuracy, performance, and robustness using appropriate metrics
• Document methodologies, assumptions, and findings for auditability and reuse
Required Skills:
Programming & Tools
• Python (must-have)
• SQL for data extraction and manipulation
• Experience with Jupyter Notebook / similar environments
Statistical & Analytical Skills
• Strong foundation in:
o Probability and statistics
o Hypothesis testing
o Regression analysis
o Time series analysis
• Experience with classical ML techniques:
o Linear/Logistic Regression
o Decision Trees, Random Forest
o K-Means / clustering methods
Data Handling
• Data wrangling and feature engineering
• Experience working with datasets (NoSQL, RDBMS, data warehouses)
• Familiarity with data quality and validation techniques
Visualization & Reporting
• Tools such as Tableau / Power BI / Matplotlib / Seaborn
• Ability to present insights in business-friendly language
Preferred Skills
• Exposure to ETL processes and basic data engineering concepts
• Knowledge of optimization or operations research techniques, Project Code :

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