1

Hourly Software Developer Ai Trainer Jobs in Florida

Programmer - AI Trainer

Fort Myers, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Programmer - AI Trainer

Gainesville, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Programmer - AI Trainer

Jacksonville, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Programmer - AI Trainer

Orlando, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Interpret and annotate technical data to support AI model training and evaluation. * Collaborate ...

Programmer - AI Trainer

West Palm Beach, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Programmer - AI Trainer

Tampa, FL ยท On-site +1

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects ...

Showing results 21-40

Hourly Software Developer Ai Trainer information

What is an hourly software developer AI trainer?

An Hourly Software Developer AI Trainer is a professional who helps train artificial intelligence systems, such as language models, by providing feedback, correcting outputs, and creating or reviewing datasets related to software development tasks. These trainers typically work on an hourly basis, often as contractors or freelancers, and use their coding expertise to ensure AI models understand programming concepts and generate accurate code. Their work is crucial for improving the performance and reliability of AI tools that assist with software development.

What are the key skills and qualifications needed to thrive as an hourly software developer AI trainer?

To thrive as an Hourly Software Developer AI Trainer, you need strong programming skills, a solid understanding of machine learning concepts, and hands-on experience with AI model training. Familiarity with tools and frameworks like Python, TensorFlow, PyTorch, and version control systems such as Git is typically required. Excellent communication, attention to detail, and the ability to provide constructive feedback make someone stand out in this position. These skills are crucial for ensuring high-quality AI model outputs, effective collaboration, and continuous improvement of both models and team capabilities.

How does an hourly software developer AI trainer typically collaborate with AI engineers and data scientists during a project?

As an Hourly Software Developer AI Trainer, you will frequently work alongside AI engineers and data scientists to refine data sets, clarify annotation guidelines, and ensure that the training data aligns with the model's objectives. Communication is key, as you'll provide feedback on ambiguous cases and discuss edge scenarios with the technical team to improve model accuracy. This collaborative approach helps bridge the gap between practical software development experience and AI model training, contributing to better real-world performance of AI systems.

What is the difference between Hourly Software Developer Ai Trainer vs Hourly Data Scientist?

AspectHourly Software Developer Ai TrainerHourly Data Scientist
Required CredentialsBachelor's in CS or related field, AI/ML certificationsBachelor's or higher in CS, Statistics, or related field, certifications in data analysis
Work EnvironmentTech companies, AI startups, remote or on-siteResearch labs, tech firms, consulting, remote or on-site
Employer & Industry UsageAI development, machine learning projects, software firmsData analysis, predictive modeling, business intelligence

Hourly Software Developer Ai Trainers focus on developing and fine-tuning AI models, requiring programming skills and AI-specific knowledge. Data Scientists analyze data to extract insights, often working with statistical tools. While both roles involve data and technical skills, AI Trainers specialize in training AI systems, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Florida?

The most popular types of Software Developer Ai Trainer jobs in Florida are:

What cities in Florida are hiring for Hourly Software Developer Ai Trainer jobs?

Cities in Florida with the most Hourly Software Developer Ai Trainer job openings:

Developer - AI Engineering

Aylstock, Witkin, Kreis & Overholtz, PLC

Pensacola, FL โ€ข On-site

Other

Posted 5 days ago


Key responsibilities

  • Design, develop, test, deploy, and maintain AI-enabled applications, tools, and internal systems.

  • Build solutions using generative AI, large language models, and related techniques such as retrieval-augmented generation, prompt engineering, and semantic search.

  • Develop and integrate AI capabilities with existing business applications, databases, and third-party systems.


Job description

Developer โ€“ AI Engineering

Department: Information Technology / Development

Reports To: Chief Development Officer

Employment Type: Full-Time

IN-OFFICE ONLY: MUST LIVE IN THE PENSACOLA, FL AREA

 

Position Summary

We are a forward-thinking law firm focused on leveraging technology, artificial intelligence, and automation to create greater efficiency across our practice areas and business operations. As our firm continues to grow and adopt new technologies, we are seeking a Developer โ€“ AI Engineering to help identify, design, and build innovative solutions that improve how legal work gets done.


This role will be instrumental in developing AI-powered tools and applications that streamline legal workflows, reduce repetitive administrative work, improve access to information, enhance client service, and allow our attorneys and legal teams to focus their time on higher-value work.


The Developer โ€“ AI Engineering will design, build, integrate, and maintain software solutions using artificial intelligence, generative AI, large language models (LLMs), automation, APIs, and data integrations. The position will work directly with attorneys, litigation teams, operations, and IT to understand existing processes, identify inefficiencies, and translate real-world legal and operational challenges into practical technology solutions.


We are looking for a builder and problem-solver who is excited about applying emerging AI technologies in a real-world legal environment. The ideal candidate understands that successful AI implementation is not simply about adopting the newest technologyโ€”it is about identifying where technology can make our practice faster, smarter, more consistent, scalable, and efficient while maintaining the confidentiality, security, accuracy, and professional standards required of a law firm.


This position will have the opportunity to help shape how our firm uses AI and emerging technology across its practice areas and to play a meaningful role in the firm's continued innovation and growth.


The Developer โ€“ AI Engineering will work closely with IT, operations, business leaders, and end users to identify opportunities where AI can meaningfully improve efficiency and quality while maintaining appropriate standards for security, privacy, accuracy, and human oversight.

 

Essential Duties and Responsibilities

AI Engineering & Development

  • Design, develop, test, deploy, and maintain AI-enabled applications, tools, and internal systems.
  • Build solutions using generative AI and large language models, including commercially available and open-source models.
  • Develop AI agents and agentic workflows capable of performing multi-step business processes using approved tools and data sources.
  • Implement techniques such as retrieval-augmented generation (RAG), structured outputs, tool/function calling, prompt engineering, embeddings, and semantic search.
  • Develop reusable AI services, APIs, integrations, and application components.
  • Evaluate AI models and platforms based on accuracy, reliability, security, performance, scalability, and cost.
  • Build evaluation and testing frameworks to measure AI output quality and identify regressions, hallucinations, or other performance issues.
  • Monitor AI applications in production and continuously improve their reliability and effectiveness.

Software Development & Integration

  • Develop and maintain web applications, backend services, APIs, scripts, and automation solutions.
  • Integrate AI capabilities with existing business applications, databases, document repositories, communication platforms, and third-party systems.
  • Design reliable workflows for moving structured and unstructured information between systems.
  • Write clean, maintainable, well-documented, and testable code.
  • Troubleshoot application, integration, data, and performance issues.
  • Participate in code reviews and maintain appropriate source-control and software-development practices.
  • Support deployment, monitoring, logging, versioning, and ongoing maintenance of internally developed applications.

Automation & Business Process Improvement

  • Partner with departments to identify repetitive, manual, or high-volume processes that can be improved through software, automation, or AI.
  • Translate business requirements into technical specifications and working solutions.
  • Develop prototypes and proof-of-concept applications to evaluate new ideas quickly.
  • Automate document review, information extraction, classification, summarization, routing, research, reporting, and other appropriate business processes.
  • Measure the effectiveness of implemented solutions, including time savings, accuracy, adoption, cost, and business impact.
  • Recommend when traditional software or automation is more appropriate than an AI-based solution.

Data, Security & Responsible AI

  • Ensure AI applications comply with organizational requirements for confidentiality, cybersecurity, privacy, and data governance.
  • Design solutions that appropriately protect confidential, proprietary, employee, and client information.
  • Implement access controls, logging, monitoring, validation, and human-review mechanisms where appropriate.
  • Minimize unnecessary exposure of sensitive information to third-party AI platforms.
  • Help establish technical standards and best practices for the responsible use of AI.
  • Identify potential risks involving hallucinations, bias, prompt injection, data leakage, unauthorized access, or inappropriate automation and implement appropriate safeguards.
  • Maintain documentation regarding AI systems, data sources, integrations, permissions, and operational dependencies.

 

Qualifications

Required

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field, or equivalent professional experience.
  • 3-7 years of experience
  • In-Office Position | Pensacola Area
  • Professional software development experience building and maintaining production applications.
  • Strong programming skills in Python and experience with at least one additional modern programming language or framework.
  • Experience developing and consuming REST APIs and integrating third-party applications.
  • Experience working with relational databases and SQL.
  • Experience with Git or another source-control platform.
  • Working knowledge of cloud-based application development and deployment.
  • Strong analytical and troubleshooting skills.
  • Ability to translate non-technical business needs into practical technical solutions.
  • Strong written and verbal communication skills.

 

AI Engineering Experience

Candidates should have hands-on experience with several of the following:

  • Large language models and generative AI platforms
  • LLM APIs and model integration
  • Prompt and context engineering
  • Retrieval-augmented generation (RAG)
  • Embeddings and vector databases
  • Semantic search
  • AI agents and tool/function calling
  • Structured data extraction
  • AI evaluation and testing
  • Model monitoring and observability
  • Workflow automation
  • Document processing
  • Natural language processing
  • AI application security and guardrails
  • 3-7 years of experience


Preferred Qualifications

  • Experience with Microsoft Azure, Azure AI services, Azure OpenAI, or Microsoft 365 integrations.
  • Experience developing applications using modern JavaScript/TypeScript frameworks.
  • Experience with containerization technologies such as Docker.
  • Experience with CI/CD pipelines and automated testing.
  • Experience with vector databases or search platforms.
  • Experience designing enterprise RAG architectures.
  • Experience with agent orchestration frameworks or building custom agentic systems.
  • Experience integrating AI with Microsoft Teams, SharePoint, document-management systems, CRM platforms, or other enterprise applications.
  • Experience developing solutions in a highly regulated or confidentiality-sensitive environment.
  • Experience in the legal industry, professional services, or another data-intensive business environment is a plus.

 

Knowledge, Skills & Abilities

The successful candidate will demonstrate:

  • Strong software engineering fundamentals combined with curiosity about emerging AI technologies.
  • A practical approach to AIโ€”focused on solving business problems rather than implementing AI simply because it is available.
  • Ability to rapidly learn and evaluate new technologies.
  • Strong problem-solving and debugging abilities.
  • Ability to independently manage projects from concept through production deployment.
  • Attention to detail and commitment to producing reliable solutions.
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • Sound judgment when working with confidential or sensitive information.
  • Ability to balance speed of innovation with security, reliability, and maintainability.
  • Strong collaboration skills and the ability to work across multiple departments and levels of the organization.

 

Key Measures of Success

Success in this position will be measured by the ability to:

  • Deliver reliable AI and software solutions that solve meaningful business problems.
  • Reduce manual work and improve operational efficiency.
  • Develop applications that employees can easily adopt and use.
  • Maintain appropriate levels of accuracy, security, and reliability.
  • Move successful prototypes into stable production solutions.
  • Demonstrate measurable business value from AI initiatives.
  • Maintain clear documentation and sustainable development practices.
  • Keep the organization informed about emerging AI capabilities, risks, and opportunities.


Work Environment

This position operates in a professional, technology-driven environment and requires regular collaboration with technical and non-technical teams. The role may involve managing multiple development initiatives simultaneously and responding to changing business priorities.


Do you currently live in the Pensacola area?

This is a 100% in-office position and is not eligible for remote work.

Applicants must currently reside in the Pensacola area and be able to work from our Pensacola office on a daily basis.

Please do not apply if you do not currently live locally or are seeking a remote opportunity.