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Ai Model Training Jobs in Kentucky (NOW HIRING)

The Aspen Group

$170 - $200/hr

Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google's Agentic AI stack. * Hands-on with one or more of these agent ...

New

Advanced Micro Devices

$180 - $240/hr

The Efficient AI Models and Applications team at AMD is looking for a specialized Fellow who is passionate about simulation and training foundations for Physical AI. You will be a key member of the ...

New

Atomic Canyon

$150 - $225/hr

Collaborate with ORNL scientists to leverage supercomputing resources for model training * Implement safeguards to prevent AI hallucinations and biases during search and data analysis * Create robust ...

New

RXinsider LTD.

$146 - $234/hr

Strong understanding of AI/ML systems, including model training pipelines, LLMs, MLOps, data pipelines, and cloud infrastructure * Strong understanding of AI/ML development workflows, AI‑assisted ...

New

NVIDIA Corporation

$152 - $288/hr

... AI ... These include robotics simulation, synthetic data generation, multi-step model training, and ...

New

Mosaec

$90 - $130/hr

We are looking for experienced personal finance professionals to support the training and evaluation of AI models. You should have hands-on experience advising individual clients or households on ...

Northeastern University

$88 - $124/hr

The Associate AI Engineer will be responsible for designing, developing, and implementing AI ... model training, validation, deployment, and monitoring in production.* **Natural Language ...

AI Chopping Block

$140 - $200/hr

You will design and operate the systems behind the AI stack, from model training and evaluation to deployment, inference, observability, and continuous improvement. You will work closely with AI ...

Neura Market

$200 - $290/hr

About the Role The Model Shaping team at Together AI works on products and research for tailoring ... In addition, we develop new methods for more efficient model training and evaluation, drawing ...

Jobzhr

$70 - $206/hr

... model training and production with DevOps & MLOps * Customize and apply Deep Learning and Gen AI ... models for various use cases based on the business needs, data availability, system and ...

Capital One National Association

$251 - $286/hr

Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation ...

New

Zoom

$152 - $332/hr

About the Team You will join a dynamic AI Infrastructure team focused on enabling high-performance ... The team builds the core systems that support model training, deployment, and inference at scale ...

New

Neura Market

$162 - $227/hr

Continuously monitor, evaluate, and optimize DL model training pipelines for performance and scalability. * Stay up to date with the latest advancements in AI, ML, and related technologies, and ...

Genios AI, Inc.

$140 - $190/hr

Integrate model training, evaluation, deployment, and monitoring into product workflows * Deploy ... Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.

New

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Ai Model Training information

What is an AI model training?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What are the typical work responsibilities of someone in AI model training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What are the key skills and qualifications needed to thrive in the AI model training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

Are there any legit AI model training jobs?

Yes, legitimate AI model training jobs are available in the tech industry, often requiring skills in machine learning, programming (such as Python), and data annotation. These roles can be found at technology companies, research institutions, and through reputable job boards, and may involve tasks like data labeling, model tuning, and algorithm development.

Can you get paid to train AI models?

Yes, AI model training is a paid role that involves developing and fine-tuning machine learning algorithms, often requiring skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and the complexity of the models being trained.

How do I become an AI model trainer?

To become an AI model trainer, you typically need a strong background in computer science, machine learning, or data science, often with a bachelor's or master's degree. Skills in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and understanding of data preprocessing are essential. Gaining hands-on experience through projects or internships can also improve your prospects in this role.

What are the most commonly searched types of Ai Model Training jobs in Kentucky?

The most popular types of Ai Model Training jobs in Kentucky are:

What are popular job titles related to Ai Model Training jobs in Kentucky?

For Ai Model Training jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Ai Model Training jobs in Kentucky look for?

The top searched job categories for Ai Model Training jobs in Kentucky are:

Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Kentucky as of August 2026, with employment types broken down into 55% Full Time, 31% Part Time, and 14% Contract. Highlights an 49% In-person, and 51% Remote job distribution.

Staff AI Engineer

The Aspen Group

On-site

$170 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Description: As part of our continued investment in AI-driven innovation, we are looking for a Staff AI Engineer to join our growing AI team. This is a hands-on role delivering innovative solutions for the healthcare enterprise. The ideal candidate will bring deep expertise in modern AI systems, multi-agent systems & frameworks, LLM-based architecture, and software engineering.

Key Responsibilities
  • Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration.
  • Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses.
  • Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making.
  • Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services.
  • Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies.
  • Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands.
  • Partner with cross-functional stakeholders in translating business requirements into technical specifications.
  • Own the full AI development lifecycle – from data collection and implementation to deployment and monitoring.
  • Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale.
Qualifications & Experience
  • BS in Computer Science, or related technology field or equivalent experience.
  • 2+ years of experience in Agentic AI engineering.
  • 4+ years of experience in AI/ML engineering 8+ years of experience in software engineering, or platform engineering.
  • Proven track record of building and deploying production-grade AI/ML systems at scale.
  • Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design.
  • Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google's Agentic AI stack.
  • Hands-on with one or more of these agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen.
  • Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows.
  • Expertise in distributed training, online inference, and low latency serving architectures.
  • Experience with Kubernetes, Cloud Run, and Dataflow/PubSub for scalable deployment.
Preferred Qualifications
  • Experience with AI governance frameworks and responsible AI practices (Vertex AI Model Monitoring, BigQuery logging, Looker dashboards).
  • Contributions to open-source AI projects or publications in leading AI/ML conferences.
  • Experience with multi-modal models and advanced optimization strategies & frameworks.
  • Experience automating, architecting and governing production grade MLOps infrastructure to scale, optimize, and observe AI workloads.
Annual Salary Range & Benefits
  • Annual Salary Range: $170,000-$200,000/year.
  • Paid time off
  • Health
  • Dental
  • Vision
  • 401(k) savings plan with match

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