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Reinforcement Learning With Human Feedback Jobs in Michigan

Learning & Development (Open Enrollment, Leadership Program, Talent Assessment, etc.) * Assist with ... HR Projects & Analytics * Assist with HR metrics, reporting, and workforce data analysis via ...

Learning & Development (Open Enrollment, Leadership Program, Talent Assessment, etc.) * Assist with ... HR Projects & Analytics * Assist with HR metrics, reporting, and workforce data analysis via ...

... automation, reinforcement learning, virtual assistants and specialized programming ... Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation ...

... automation, reinforcement learning, virtual assistants and specialized programming ... Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation ...

... automation, reinforcement learning, virtual assistants and specialized programming ... Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation ...

AI Engineer

Dearborn, MI · On-site

$61 - $66/hr

... automation, reinforcement learning, virtual assistants and specialized programming ... Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation ...

Partner with managers to support performance management, development planning, and ongoing feedback ... Demonstrated learning agility and a proactive, solutions-oriented mindset Preferred Experience

Partner with managers to support performance management, development planning, and ongoing feedback ... Demonstrated learning agility and a proactive, solutions-oriented mindset Preferred Experience

Support recruiting activities and onboarding for new employees. * Assist with training coordination and learning & development initiatives. Compliance & Reporting * Prepare HR reports, spreadsheets ...

HR Intern

Adrian, MI · On-site

$13.50 - $18/hr

Research HR best practices and contribute ideas for new initiatives, giving you a chance to connect classroom learning with real workplace applications. * Build analytical skills by helping generate ...

Showing results 41-60

Reinforcement Learning With Human Feedback information

What is reinforcement learning with human feedback?

Reinforcement Learning with Human Feedback (RLHF) is a machine learning technique where AI agents are trained not only through automated reward signals but also by incorporating feedback from humans. This approach helps align the agent’s behavior with human preferences, values, or safety requirements by allowing humans to guide or correct the learning process. RLHF is commonly used in developing advanced AI systems, such as language models, to ensure their outputs are helpful, safe, and aligned with user expectations. The process often involves human evaluators ranking or scoring the AI's responses, which are then used to fine-tune the model’s behavior.

What collaborations are typical for a reinforcement learning with human feedback specialist within a machine learning team?

As an RLHF specialist, you often work closely with data scientists, machine learning engineers, and domain experts to design effective feedback mechanisms and reward models. Collaboration with annotation teams or subject matter experts is common, as high-quality human feedback is crucial for training robust RLHF models. You may also partner with product managers and UX researchers to ensure that the models align with user needs and ethical considerations. Regular cross-functional meetings and code reviews help maintain alignment and foster innovation across teams.

What are the key skills and qualifications needed to thrive as a reinforcement learning with human feedback engineer?

To excel as a Reinforcement Learning with Human Feedback (RLHF) Engineer, you need a strong background in machine learning, reinforcement learning theory, statistics, and typically an advanced degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like Ray RLlib), and experience with data collection and annotation systems are essential. Excellent problem-solving abilities, communication skills, and teamwork help you collaborate with researchers, data annotators, and other engineers. These skills enable you to design and implement RLHF systems that are robust, scalable, and aligned with human values.

What is the difference between Reinforcement Learning With Human Feedback vs Reinforcement Learning Engineer?

AspectReinforcement Learning With Human FeedbackReinforcement Learning Engineer
CredentialsTypically requires knowledge of machine learning, AI, and data analysisRequires similar credentials in machine learning, programming, and AI
Work EnvironmentResearch labs, AI development teams, tech companiesDevelopment teams, research labs, tech firms
Industry UsageUsed in AI training, human-in-the-loop systems, and model refinementDesigning, implementing, and optimizing reinforcement learning algorithms

Reinforcement Learning With Human Feedback focuses on improving AI models through human input, while Reinforcement Learning Engineers develop and deploy these algorithms. Both roles require strong machine learning skills and often work in similar environments, but their core responsibilities differ in application and focus.

What are popular job titles related to Reinforcement Learning With Human Feedback jobs in Michigan?

For Reinforcement Learning With Human Feedback jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning With Human Feedback jobs in Michigan look for?

The top searched job categories for Reinforcement Learning With Human Feedback jobs in Michigan are:

What cities in Michigan are hiring for Reinforcement Learning With Human Feedback jobs?

Cities in Michigan with the most Reinforcement Learning With Human Feedback job openings:

Infographic showing various Reinforcement Learning With Human Feedback job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Artificial Intelligence Senior Associate//Dearborn, MI//W2

Saanvi Technologies

Dearborn, MI • On-site

Contractor

PTO

Re-posted 18 days ago


Job description

Artificial Intelligence Senior Associate

Location: 748 - Wagner Place West (WPW)
Location Address: 22001 Michigan Avenue, Dearborn, MI, 48124

4 days on site

Position Description:

Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities 2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence 3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming 4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation 5) Possess technical background and experience with Microsoft D365 Platform tools, including Microsoft Copilot Studio and generative AI capabilities. They should be familiar with the platform's features, capabilities, customization options, and AI-driven automation. They will also enjoy solving complex problems, have strong interpersonal skills, and a desire for continuous improvement. The candidate should be skilled in Microsoft Dynamics 365, GitHub, Power Apps, Azure DevOps, Plug-In Development, Workflows, C#, JavaScript, and Copilot/AI integrations. • Designing, configuring, and deploying custom AI conversational agents and Copilot experience using Microsoft Copilot Studio and Omnichannel for Customer Service. • Leveraging generative AI capabilities within Dynamics 365 to improve contact center efficiency, automated email drafting, and real-time agent assistance. • Integrating D365 with Azure OpenAI, cognitive services, and external knowledge bases to power Copilot responses. • Optimizing Copilot performance through prompt engineering, topic configuration, and continuous monitoring of AI interactions. • All aspects related to form customization, such as (but not limited to) adding Tabs, Sections, Sub-grid, Web Resources, iFrame, Navigation Map Customization, and Ribbons Customization. • Solutions and sitemap customizations. • C#, JavaScript and XRM model for JS, including OData calls through JS. • Plug-in development. • Custom workflow development, BPF. • CRM Portal Development and other custom portal development. • Integrating with Azure services through Power Automate, Logic Apps, Azure Functions, Web APIs. • Power Apps Model Driven Apps and Canvas apps. • Collaborate with other PDO teams and stakeholders to ensure that the product meets technical and business objectives. • Communicate effectively technical ideas, technical feedback, and collaborate with technical stakeholders. • Participate and support in conducting technical design and code reviews. Create, implement, and maintain technical documentation. • Diagnose and triage technical errors, data issues, and performance challenges. • Proactively provide feedback throughout the Agile journey, seeking continuous process improvement. • Perform software and product updates recommended by Ford Motor Company and/or other vendors. • Debugging and maintaining written code. • Unit testing, QA, and Technical documentation.

Skills Required:

CRM, AIPGEE

Experience Required:

Senior Associate Exp: 3 to 5 years experience in relevant field

Experience Preferred:

• 5+ years of experience in C#, JavaScript, ASP.NET. • 5+ years of experience with Microsoft Dynamics 365. • 5+ years of experience with GitHub or git-based source control. • 2+ years of hands-on experience working with Microsoft Copilot Studio (formerly Power Virtual Agents) and integrating AI/Copilot capabilities within the D365 ecosystem. • Strong understanding of generative AI concepts, prompt engineering, and utilizing Large Language Models (LLMs) in business applications. • Experience with Azure OpenAI, Azure Cognitive Services, or Microsoft AI SDKs is highly preferred. • Hands-On Experience with Microsoft Dynamics 365, GitHub, Power Apps, Azure DevOps, Plug-In Development, and Workflows.

Education Required:

Bachelor's Degree


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About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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