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Software Engineer Ai Model Training Jobs in Jupiter, FL

Bespoke Labs

Machine Learning Engineer

Lake Worth, FL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Paychex

Principal Software Engineer -P

West Palm Beach, FL · On-site

$130K - $175K/yr

... AI, and human expertise to help organizations work smarter, support their people, and achieve ... Our award-winning training and development programs empower our employees with ongoing learning ...

Medium

Senior Software Engineer

West Palm Beach, FL · On-site

$137 - $160/hr

... AI-powered applications and developer tools to drive more transparent customer communication ... Position Summary About the Role As a Senior Software Engineer in the Documents domain, you will ...

VOLO Health

AI Engineer

Jupiter, FL · On-site

Optimize LLM API costs through caching, batching, and model selection * Implement security controls ... software engineering with production LLM experience * ​3-5 years of professional software ...

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Showing results 21-40

All JobsSoftware Engineer Ai Model Training JobsSoftware Engineer Ai Model Training Jobs in Jupiter, FL

Software Engineer Ai Model Training information

See Jupiter, FL salary details

$62.1K

$144.3K

$200.9K

How much do software engineer ai model training jobs pay per year?

As of Aug 20, 2026, the average yearly pay for software engineer ai model training in Jupiter, FL is $144,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $169,200.00 per year, depending on experience, location, and employer.

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What cities near Jupiter, FL are hiring for Software Engineer Ai Model Training jobs?

Cities near Jupiter, FL with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Jupiter, FL as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $144,253 per year, or $69.4 per hour.

Senior Software Engineer

Kaufman Rossin

Palm Beach Gardens, FL

$115K - $152K/yr

Full-time

Posted 5 days ago

Job description

Why We Stand Out

Seeking a career-defining opportunity where your leadership, strategic vision, and client expertise are recognized and rewarded? Kaufman Rossin might be just the place for you.

As one of the top accounting firms in the country, our foundation is "people first." In the words of James Kaufman, "we prioritize our people, their development, and their well-being. Our values are translated into action every day."

Kaufman Rossin is a privately owned, independent public accounting firm, which means we are not beholden to outside investors or private equity influence. This independence allows us to prioritize long-term client relationships, maintain objectivity in our advisory approach, and make strategic decisions that benefit our people and clients, not external stakeholders. Our structure fosters agility, entrepreneurial thinking, and a collaborative culture where leadership is accessible, and innovation is encouraged.

Celebrated as the Best Place to Work in South Florida over a dozen times, Kaufman Rossin has grown to over 700 employees, with offices spanning the tri-county area, including sister entities Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services.

Think you have what it takes?

How You'll Contribute

Kaufman Rossin is seeking a Senior Software Engineer to join our growing Information Technology team. In this role, you'll help shape the future of KR's application portfolio by delivering high quality features, modernizing legacy services, reducing technical debt, and standardizing development tools and practices. You'll work across WES, including WES API, WES UI, Hermes, and Workstreams, and collaborate closely with KR's global delivery team in Bengaluru.

  • Build and maintain production features across WES API using Python and FastAPI, WES UI using React and TypeScript, Hermes, and Workstreams
  • Develop business logic and AI workflows using Python and FastAPI
  • Contribute to systems and performance critical components using Rust, Axum, and Tonic
  • Build reusable React components using the selected component library, including Tailwind with Radix or Fluent UI
  • Use React Query for server state and Zustand for client state while supporting the migration from legacy Apollo and Redux patterns
  • Implement real time functionality using Azure SignalR Service
  • Develop event driven solutions using Azure Event Hubs and Kafka compatible messaging patterns
  • Integrate applications with Azure Entra ID using OAuth 2.0, OpenID Connect, and JWT standards

Technology Consolidation & Tech Debt Reduction

  • Assess technical debt, document effort and risk, and develop phased migration plans that minimize production disruption
  • Support the migration of AWS workloads to Azure, including EKS to AKS and Cognito to Entra ID
  • Help reduce KR's language and framework footprint by transitioning Ruby, Go, Node.js, Express.js, and Ember.js services toward Python, Rust, and React standards
  • Consolidate observability tools into Azure Monitor, Application Insights, and Azure Managed Grafana
  • Consolidate security tools using GitHub Advanced Security, Microsoft Defender for Cloud, and Azure Key Vault
  • Contribute to retrieval augmented generation technology decisions involving Azure AI Search, HelixDB, and TensorZeroCode

Quality & Engineering Standards

  • Native testing per active language: pytest (Python), vitest/Jest (TypeScript/JS), cargo test/criterion/proptest (Rust)
  • Native linting per active language: ruff (Python), ESLint (TS/JS), clippy (Rust)
  • Author and enforce ADRs - document technology choices, migration decisions, and trade-offs
  • Maintain CI/CD pipelines in GitHub Actions (or Azure DevOps Pipelines where applicable)

Global Delivery Team Partnership

  • Work as a true partner with KR's Bengaluru development team
  • Participate in cross-regional agile ceremonies: standups, sprint planning, reviews, retrospectives
  • Produce developer-facing documentation: ADRs, API references, runbooks, migration playbooks
  • Mentor less-experienced developers on the global team: code reviews, architecture Q&A, knowledge transfer

AI-Integrated Application Development

  • Integrate AI capabilities into WES, building on Azure AI Search + HelixDB + TensorZero gateway for document intelligence and semantic search
  • Contribute to prompt engineering and retrieval optimization within the application layer
  • Build React components, API endpoints, and streaming response handlers that surface AI features reliably

Requirements

How You'll Stand Out

  • 5+ years production software development experience
  • Strong Python: FastAPI, async patterns, pytest, ruff - production API development
  • Strong TypeScript/React: component design, React Query, Zustand, vitest/Jest, ESLint
  • Working Rust: able to read, extend, and contribute to axum/tonic services; clippy fluency
  • Event-driven architecture like Kafka
  • Identity/auth systems: OAuth2/OIDC, JWT, Azure Entra ID or equivalent
  • Demonstrated technical debt reduction - structured migration planning and measurable consolidation

Benefits

We embrace authenticity. Kaufman Rossin is an equal opportunity employer. We are committed to creating a culture that reflects the diversity of our firm and clients. We encourage understanding, acceptance, and celebration among all people. That includes lifestyle, education, experience, race, ethnicity, age, religion, physical ability, sexual orientation, and gender identity. Differences make unique varieties.

Apply