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Explainable Ai Jobs in Florida (NOW HIRING)

Philip Morris International

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Implement explainable AI (XAI) principles to ensure transparency and trust in machine learning model outputs. Governance, Documentation & Compliance * Establish and enforce data governance standards ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Experience designing explainable / auditable AI workflows for regulated environments. * Open-source contributions to agent frameworks, eval tooling, or retrieval libraries. * AWS depth (EKS, MSK, RDS ...

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Explainable Ai information

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and expertise in tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees. Compensation at this level reflects significant experience and impact within the organization.

What degree is needed for XAI jobs?

Explainable AI (XAI) jobs typically require a bachelor's degree in computer science, data science, or a related field, with many roles preferring or requiring a master's or Ph.D. in artificial intelligence, machine learning, or a similar discipline. Strong programming skills, knowledge of machine learning frameworks, and understanding of model interpretability are also important for these roles.

What is the highest paying AI job?

The highest paying AI jobs typically include roles such as AI research director, machine learning engineer, and AI solutions architect, often requiring advanced degrees and expertise in deep learning, natural language processing, or computer vision. These positions can offer salaries exceeding $150,000 annually, especially in tech hubs or large organizations with specialized AI needs.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist, and why are they important?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

Which 3 jobs will survive AI?

Explainable AI specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, because their roles involve understanding, interpreting, and ensuring transparency of AI systems. These jobs require critical thinking, domain expertise, and communication skills that are difficult to automate fully. Continuous learning and familiarity with AI tools and frameworks are essential for these roles to remain relevant.
What are popular job titles related to Explainable Ai jobs in Florida? For Explainable Ai jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Explainable Ai jobs in Florida look for? The top searched job categories for Explainable Ai jobs in Florida are:
What cities in Florida are hiring for Explainable Ai jobs? Cities in Florida with the most Explainable Ai job openings:
Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in Florida as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Electrical and Computer Engineerint - Lecturer Part-Time

Electrical and Computer Engineerint - Lecturer Part-Time

The University of Miami

Coral Gables, FL • On-site

Part-time

Posted 17 days ago

University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

254th of 612 rated colleges and universities

Job description

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.
The Department of Electrical and Computer Engineering at the University of Miami is seeking part-time faculty members to teach courses at the undergraduate and graduate level. We are particularly interested in individuals with expertise in Robotics and Applied Artificial Intelligence (AI) who can contribute to courses and laboratories in areas such as:
  • Robotics and Mechatronics
  • Autonomous Systems and Control
  • Applied Artificial Intelligence (e.g., Generative AI, Trustworthy and Explainable AI, AI-Enabled/Powered Systems, AI in Healthcare Applications)
  • Machine Learning and Data-Driven Engineering
  • Embedded Systems and Intelligent Hardware

A terminal degree in engineering or a closely related field is required, with a minimum of two years of appropriate technical and/or teaching experience. A Ph.D. with demonstrated teaching experience is strongly preferred.
Application Process
For full consideration, applicants must upload a single PDF file (max 5MB) containing:
  • Cover letter
  • Curriculum Vitae
  • Teaching statement (including philosophy, experience, and a list of courses you can teach relevant to AI and Robotics and other ECE related topics)
  • Contact information for three references

Review will begin immediately and continue until all positions are filled. Appointments are expected to begin in Fall 2026, although earlier start dates may be considered.
If you have any questions, please feel free to contact the Chair of the Search Committee, Dr. Nigel John nigel.john@miami.edu.
The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.
Job Status:
Part time
Employee Type:
Faculty-Intermittent (Seasonal)

What University Of Miami employees say

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About University of Miami

Sourced by ZipRecruiter

The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925

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