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Reinforcement Learning With Human Feedback Jobs in Arizona

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology ... reinforcement learning, generative models, foundation models, planning and search, and other ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

With a world-class team, we're unlocking the next era of autonomous transportation with technology ... reinforcement learning, generative models, foundation models, planning and search, and other ...

Western Alliance Bank

HRIS Workday Team Lead

Phoenix, AZ · On-site

$159K - $197K/yr

You'll work closely with the HRIS Workday Manager and assist in directing the daily work of several ... Provide performance and development feedback to the Director enabling him to effectively manage the ...

PetSmart

DC HR Specialist - Phoenix, AZ

Phoenix, AZ · On-site

The work we do directly aligns with the company's core areas of focus, and we ensure that ... partners, Learning & Development, Compensation & Benefits, and Shared Services. We enable ...

UNAVAILABLE

DC HR Specialist - Phoenix, AZ

Phoenix, AZ · On-site

$55 - $69/hr

The work we do directly aligns with the company's core areas of focus, and we ensure that ... partners, Learning & Development, Compensation & Benefits, and Shared Services. We enable ...

PetSmart

DC HR Specialist - Phoenix, AZ

Phoenix, AZ · On-site

The work we do directly aligns with the company's core areas of focus, and we ensure that ... partners, Learning & Development, Compensation & Benefits, and Shared Services. We enable ...

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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 Arizona?

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

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

Reinforcement Learning With Human Feedback jobs near you
Infographic showing various Reinforcement Learning With Human Feedback job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Specialist I, HR

LG Energy Solution Michigan, Inc.

Queen Creek, AZ • On-site

Full-time

Re-posted 24 days ago

Job description

We’re looking for a Learning & Development Specialist to support onboarding, training, and continuous improvement initiatives across our manufacturing teams and corporate functions.

What You’ll Do

  • Design, support and deliver training programs and activities for company culture, production and technical skills
  • Coordinate onboarding and compliance training
  • Help manage our Learning Management System (LMS)
  • Analyze training feedback and make recommendations for improvement
  • Partner with HR professionals, engineers and operations leaders to align training with business needs

What You Bring

  • Recent BA/BS in HR, Education, Psychology, Instructional Design, or related field
  • Passion for learning and people development
  • Strong communication, organization and project coordination skills
  • Bonus: Experience with eLearning authoring and LMS tools, or experience in manufacturing environments

Why LG Energy Solution Arizona, Inc.?

  • Be part of a technology-driven, fast-growing, brand new entity
  • Work on impactful projects with real career growth
  • Competitive salary + benefits + mentorship
  • Help shape the workforce that will awaken the world with energy