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Ai Reinforcement Learning Jobs in Kentucky (NOW HIRING)

$150 - $200/hr

In this role, you'll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data ...

$200 - $250/hr

LLM Customization, Finetuning, Reinforcement Learning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an ...

New

$250/hr

LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an ...

$150 - $200/hr

About HUD HUD is building infrastructure to create RL training data and evals for frontier AI ... About the role We're looking for a Full-Stack Software Engineer, Reinforcement Learning to build ...

$80 - $100/hr

# AI Training Specialist**Category:** writing**Compensation:** $40 - $80/hr**Employment Type ... Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO).Key ...

$200 - $250/hr

We want AI to be safe and beneficial for our users and for society as a whole. Our team is a ... Reinforcement Learning Fellows * Economics & Societal Impacts Fellows Across the workstreams, you ...

$150 - $200/hr

Reinforcement learning integration -- Partner with data science teams to operationalize ... AI governance and safety -- Implement guardrails, observability, traceability, policy controls ...

$200 - $250/hr

Have an unusually strong track record in machine learning or AI research, with the depth to push at least one important area forward: pretraining, reinforcement learning / post‑training, evals (not ...

$150 - $200/hr

Your work may span AI agents, large language models, reinforcement learning, optimization, GPU-accelerated algorithms, verification, analog design, and other areas of chip design automation. This ...

New

$150 - $200/hr

About us We are building AI systems that can reason, use tools, and complete meaningful work in the ... Our team works across model post-training, reinforcement-learning infrastructure, large-scale ...

$150 - $200/hr

... reinforcement learning with human feedback, and more. Scale AI's Public Sector team is growing in the Generative AI, Public Sector space, and we're seeking a Strategic Projects lead to lead high ...

$150 - $200/hr

... reinforcement learning with human feedback, and more. Scale AI's Public Sector team is growing in the Generative AI, Public Sector space, and we're seeking a Cyber focused Strategic Projects Lead to ...

$250/hr

Distributed AI Infrastructure: Build the infrastructure required to support distributed training, simulation, inference, and reinforcement learning workloads. Evaluate and integrate orchestration ...

New

$150 - $200/hr

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model ...

$125 - $150/hr

The AI Agent & Automation Developer will have the opportunity to work in a hybrid model from any of ... Optimize agent behavior through feedback loops, reinforcement learning, or user interaction.

$250/hr

... AI At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to ... Experience in machine learning, quantitative methods, control systems, or reinforcement learning

$150 - $200/hr

At CVS Health, we're reshaping the future of Personalization through AI-driven optimization and ... Strong background in one or more of the following: reinforcement learning, causal inference ...

New

$200 - $250/hr

Have an unusually strong track record in machine learning or AI research, with the depth to push at least one important area forward: pretraining, reinforcement learning / post‑training, evals (not ...

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Ai Reinforcement Learning information

What is AI reinforcement learning?

AI reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. The agent receives feedback in the form of rewards or penalties based on its actions, which it uses to improve its future performance. Reinforcement learning is widely used in applications such as robotics, game playing, recommendation systems, and autonomous vehicles. Unlike supervised learning, RL doesn't require labeled input/output pairs and learns through trial and error.

What are the key skills and qualifications needed to thrive as an AI reinforcement learning specialist?

To thrive as an AI Reinforcement Learning Specialist, you need strong expertise in machine learning, deep learning, and mathematics, usually backed by a degree in computer science, engineering, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with RL-specific libraries like OpenAI Gym are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are essential soft skills for excelling in this role. These skills and qualifications are crucial for developing, optimizing, and deploying RL algorithms that solve complex, real-world problems.

What are some common challenges faced by AI reinforcement learning specialists when deploying models in real-world applications?

AI Reinforcement Learning (RL) specialists often encounter challenges such as ensuring the reliability and safety of RL agents outside of controlled environments. Real-world data can be noisy and unpredictable, making it difficult for models trained in simulations to generalize. Additionally, RL algorithms typically require significant computational resources and time for training, which can be a constraint in fast-paced projects. Collaboration with domain experts and software engineers is essential to adapt algorithms to production systems and continuously monitor performance for unexpected behaviors.

What is the difference between Ai Reinforcement Learning vs Data Scientist?

AspectAi Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of algorithmsDegree in Statistics, Data Science, or related fields; programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsageAI product development, autonomous systems, roboticsBusiness insights, predictive modeling, data analysis
Common Search/ComparisonYesYes

Ai Reinforcement Learning focuses on developing algorithms that enable machines to learn through trial and error to make decisions. Data Scientists analyze data to extract insights and build predictive models. While both roles require programming skills and a background in data or algorithms, reinforcement learning specialists primarily work on AI systems that learn from interactions, whereas Data Scientists focus on interpreting data to inform business decisions.

What job categories do people searching Ai Reinforcement Learning jobs in Kentucky look for?

The top searched job categories for Ai Reinforcement Learning jobs in Kentucky are:

What cities in Kentucky are hiring for Ai Reinforcement Learning jobs?

Cities in Kentucky with the most Ai Reinforcement Learning job openings:

Infographic showing various Ai Reinforcement Learning job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

AI Engineer, Data Science - Information Technology

ServiceLink IP Holding Company, LLC

On-site

$150 - $200/hr

Other

Posted 5 days ago


ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Overview

At ServiceLink, we believe in pushing the limits of what’s possible through innovation. We’re looking for a highly skilled AI Engineer to design and implement advanced AI solutions that transform the mortgage industry. In this role, you’ll work on fine-tuning Large Language Models (LLMs), applying reinforcement learning techniques, developing multi-agent systems, and leveraging Generative AI for intelligent data retrieval and visualization. Your work will enable natural language-driven insights and empower decision-making through cutting-edge AI technologies.

This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of this office and be willing to work in-office on a regular basis.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

In this role, you will…

  • Build and deploy AI Agents and Tools.
  • Design and implement reinforcement learning algorithms and multi-agent systems to solve complex business challenges.
  • Develop GenAI-based solutions for intelligent data retrieval.
  • Collaborate with cross-functional teams—including Data Engineering, Product, and Infrastructure to ensure secure, scalable, and efficient AI deployments.
  • Stay ahead of emerging trends in AI research and apply best practices to deliver innovative, business-aligned solutions.
WHO YOU ARE

You possess …

  • A strong technical foundation in Computer Science, Engineering, or a related field, and 2+ years of experience in AI/ML development.
  • Hands‑on expertise in fine‑tuning LLMs, reinforcement learning, multi‑agent systems, and generative AI applications.
  • Proficiency in Python and familiarity with modern AI frameworks and cloud platforms (preferably Microsoft Azure).
  • Experience operationalizing AI models using MLOps best practices.
  • Strong problem‑solving skills and the ability to translate complex technical concepts into actionable insights.
  • A collaborative mindset and excellent communication skills to work effectively in interdisciplinary teams.
Responsibilities
  • Build and deploy AI Agents for workflow automation tasks.
  • Develop and fine‑tune LLMs for domain‑specific applications.
  • Implement reinforcement learning algorithms and multi‑agent architectures for intelligent automation.
  • Create GenAI‑powered solutions for natural language‑driven data retrieval and visualization.
  • Build robust MLOps pipelines for model deployment and monitoring.
  • Collaborate with stakeholders to align AI solutions with business objectives.
  • Continuously research and apply state‑of‑the‑art AI techniques to improve system performance.
  • All other duties as assigned.
Qualifications
  • Bachelor’s degree in computer science, Engineering, or related discipline.
  • Project experience in LLM fine‑tuning, reinforcement learning, multi‑agent systems, and generative AI.
  • Strong programming skills in Python.
  • Excellent communication and collaboration skills.
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What ServiceLink employees say

Pay

Benefits

Hours and flexibility

Workplace

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