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Generative Ai Training Jobs in Stuart, FL (NOW HIRING)

Generative Ai Training information

See Stuart, FL salary details

$4

$25

$38

How much do generative ai training jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for generative ai training in Stuart, FL is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $31.83 per hour, depending on experience, location, and employer.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What cities near Stuart, FL are hiring for Generative Ai Training jobs?

Cities near Stuart, FL with the most Generative Ai Training job openings:

Infographic showing various Generative Ai Training job openings in Stuart, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $53,354 per year, or $25.7 per hour.

Manager of Emerging Technologies

NEOGOV

Fort Pierce, FL • On-site

Full-time

Re-posted 26 days ago


Job description

Job Summary:
NEOGOV is seeking a Manager of Emerging Technologies to lead the modernization of operations through the integration of artificial intelligence and emerging technologies. The role involves building internal capabilities, developing practical use cases, and guiding departments through digital transformation while collaborating closely with IT and other teams.
Responsibilities:
• Develop and maintain a multi-year roadmap for emerging-technology adoption aligned with organizational goals
• Identify, evaluate current data environment, and prioritize AI use cases based on feasibility, impact, and readiness.
• Collaborate with IT and departments to improve data availability, quality, and integration.
• Establish standards and best practices for secure, maintainable, and scalable technology adoption.
• Provide clear reports and recommendations to leadership on progress, risks, and opportunities.
• Design and deploy practical AI-enabled workflows, intelligent agents, and automation solutions that support operational goals.
• Evaluate business processes across departments to identify opportunities for AI-informed improvements.
• Develop guidelines and frameworks for responsible AI use, emphasizing transparency, privacy, and bias mitigation.
• Prepare leadership-level reports summarizing progress, risk, and performance impacts.
• Conduct workshops and training sessions to build staff proficiency in AI fundamentals, prompting, and agent-based systems.
• Translate complex technical concepts into accessible language for diverse audiences.
• Support organizational change management related to AI adoption and digital transformation.
• Serve as liaison with vendors, consultants, and external partners to evaluate emerging technology platforms and solutions.
• Partner with business units to translate insights into actionable process changes.
• Ensure systems and solutions evolve through continuous learning and adapt to new workflows, policies, and organizational priorities.
• Develop and maintain Power BI dashboards that consolidate operational metrics and integrate AI-driven insights.
• Lead staff learning and adoption of BI tools, creating new BI users across departments.
• Use Power BI visualizations to identify trends, anomalies, and opportunities for process improvement.
• Collaborate with IT and department leaders to ensure secure deployment and governance of BI tools.
• Develop a leadership dashboard prototype that consolidates operational metrics across departments, where appropriate.
Qualifications:
Required:
• Bachelor’s degree from an accredited college or university in computer science, data science, information systems, or other related area of study along with five (5) years of experience in AI/ML implementation, innovation, or digital transformation roles.
• thorough knowledge of generative AI, large language models, and agent frameworks
• knowledge of process mining, workflow automation, and AI-informed analytics
• strong interpersonal skills to support organizational change management across departments
• advanced proficiency in Power BI, including DAX, Power Query, and data modeling, and ability to integrate BI dashboards with AI models.
• knowledge of data governance, security, and compliance frameworks
• strong clear and effective communication both orally and in writing, facilitation, and collaboration skills
• ability to incorporate and employ on a continuous basis: initiate change, creativity, collaboration, pride and accountability.
• ability to design adaptive AI systems that improve over time through exposure to organizational data
• ability to translate complex technical concepts into accessible language for diverse audiences
• ability to plan, organize, administer, and evaluate AI projects and staff training activities
• ability to exercise sound independent judgment within general policy guidelines
• ability to prepare clear, concise, and complete reports
• ability to establish and maintain effective working relationships across departments
Preferred:
• Advanced certifications in AI/ML or cloud platforms (Azure AI, AWS SageMaker, Google Vertex AI)
• demonstrated experience deploying AI solutions and teaching or enabling non-technical audiences to adopt new tools and technologies.
• Designing and deploying Power BI dashboards for enterprise environments, including KPI reporting and integration with multiple data sources
Company:
NEOGOV is the leading provider of workforce management software uniquely designed for the public sector, education, and public safety. Founded in 1999, the company is headquartered in El Segundo, USA, with a team of 501-1000 employees. The company is currently Late Stage.