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Reinforcement Learning With Human Feedback Jobs in Raleigh, NC

ABB

HR Analyst, Employee Lifecycle

Cary, NC · Hybrid

This role is contributing to the HR Operations in Employee Life Cycle. Main stakeholders are ABB ... with confidence. You'll grow through meaningful work, continuous learning, and support that ...

Novanta Inc.

Head of HR Enablement, U.S. Region

Apex, NC · On-site

$123.79 - $198.07/hr

You have found it with a culture that embraces teamwork, collaboration and empowerment. Come ... Solicits feedback from key stakeholders, such as Talent Partners and Site Leaders/Engagement ...

RELX

Lead Data Scientist

Raleigh, NC

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

LexisNexis

Lead Data Scientist

Raleigh, NC

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Experience with reinforcement learning, prompt engineering, hallucination mitigation * Working understanding of the business risks associated with applying LLM in a business * Experience working with ...

The Catering Works Inc

Restaurant Manager

Raleigh, NC · On-site

$28/hr

... reinforcement, operational execution, and hospitality initiatives. This role works closely with the ... Engage with guests throughout service to enhance hospitality and gather feedback * Resolve guest ...

Procom

Content Developer: I (Junior) - NA

Raleigh, NC · On-site +1

$119K - $124K/yr

... with HR centers of excellence to review content and provide feedback on AI readiness • Support maintenance of content in ServiceNow, including reviewing reports and informing content owners about ...

New

Iatinsurancegroup

Talent Manager

Raleigh, NC · Hybrid

$82K - $180K/yr

Through close partnership with HR Business Partners and leaders, this role will deliver scalable ... Ability to lead through change, adapt quickly, and promote a culture of continuous learning and ...

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All JobsReinforcement Learning With Human Feedback JobsReinforcement Learning With Human Feedback Jobs in Raleigh, NC

Reinforcement Learning With Human Feedback information

See Raleigh, NC salary details

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$67

How much do reinforcement learning with human feedback jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for reinforcement learning with human feedback in Raleigh, NC is $39.56, according to ZipRecruiter salary data. Most workers in this role earn between $28.75 and $51.39 per hour, depending on experience, location, and employer.

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 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.

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Reinforcement Learning With Human Feedback jobs near you

Artificial Intelligence (AI) Tutor

Varsity Tutors

Chapel Hill, NC • Remote

$18 - $40/hr

Part-time

Re-posted 10 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Artificial Intelligence (AI) tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Artificial Intelligence (AI) Tutor
  • Advanced Subject Mastery: Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and unsupervised learning, backpropagation, transformer architecture, and bias in AI systems while preparing students for AI research, data science, and technology innovation careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs. Emphasizes connecting mathematical foundations to practical implementation and applies AI to healthcare, autonomous systems, and creative applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with AI curricula at introductory and intermediate levels and common challenges such as understanding gradient descent mathematics, selecting appropriate model architectures, and interpreting overfitting. Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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