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Rlhf Jobs (NOW HIRING)

Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the ...

Senior Technical Product Manager - AI Platform (SLM, RLHF & ML-Ops) About Uniphore: Uniphore is one of the largest B2B AI-native companies with decades of proven, built for scale, and designed for ...

Senior Product Manager - X Stream

Palo Alto, CA · On-site

$148K - $196K/yr

Senior Technical Product Manager - AI Platform (SLM, RLHF & ML-Ops) About Uniphore: Uniphore is one of the largest B2B AI-native companies with decades of proven, built for scale, and designed for ...

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

Software Engineer, AI (Python)

Miami, FL · On-site +1

$30 - $70/hr

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that feedback into reward signals → reinforcement learning tunes the model toward code you'd actually ship.

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Rlhf information

What are some common challenges faced by professionals working in Reinforcement Learning from Human Feedback (RLHF) roles?

Professionals in RLHF roles often encounter challenges related to data quality and alignment between human feedback and model behavior. Collecting consistent, unbiased feedback from human annotators can be complex, and ensuring that the reinforcement learning model interprets this feedback correctly requires careful design of reward functions and training protocols. Additionally, balancing the need for rapid experimentation with maintaining rigorous evaluation standards is crucial. Collaboration with interdisciplinary teams, including data scientists, ML engineers, and domain experts, is common to address these challenges and improve model alignment.

What are RLHF jobs?

RLHF stands for Reinforcement Learning from Human Feedback. RLHF jobs typically involve roles where professionals help train artificial intelligence (AI) systems, especially large language models, by providing feedback, curating datasets, designing reward models, or developing algorithms that enable AI to learn effectively from human input. These jobs may include positions such as machine learning engineers, data annotators, AI trainers, and research scientists. The goal of RLHF work is to improve the alignment of AI behavior with human values and expectations by incorporating direct human feedback into the training process.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning from Human Feedback (RLHF) Engineer, and why are they important?

To thrive as an RLHF Engineer, you need a strong background in machine learning, reinforcement learning, and programming (often Python), typically supported by an advanced degree in computer science or a related field. Experience with ML frameworks (such as TensorFlow or PyTorch), data annotation tools, and familiarity with large language models are typically required. Strong analytical thinking, collaboration, and clear communication are essential soft skills to succeed in research-driven, interdisciplinary teams. These skills and qualities are crucial for developing safe, effective AI systems that integrate human feedback and adapt to complex real-world tasks.

What is the difference between Rlhf vs Rn?

AspectRlhfRn
Required CredentialsLicensed healthcare professional, often with specialized training in mental health or behavioral healthLicensed practical nurse or registered nurse, with nursing licensure and possibly additional certifications
Work EnvironmentBehavioral health facilities, clinics, hospitals, or community health settingsHospitals, clinics, long-term care facilities, and community health settings
Employer & Industry UsageBehavioral health and mental health servicesGeneral healthcare and nursing services
Common Search & ComparisonRlhf vs RnRlhf vs Rn

While Rlhf (Registered Licensed Mental Health Facilitator) focuses on mental health support and behavioral health interventions, Rn (Registered Nurse) provides broader nursing care across various medical settings. Both roles require licensure, but Rlhf specializes in mental health, whereas Rn covers general patient care.

What is an RLHF job?

An RLHF (Reinforcement Learning with Human Feedback) job involves training AI models using human feedback to improve their responses. Professionals in this role analyze model outputs, provide evaluations, and refine AI behavior through reinforcement learning techniques. These roles are common in AI research, content moderation, and chatbot development.

What cities are hiring for Rlhf jobs? Cities with the most Rlhf job openings:
What are the most commonly searched types of Rlhf jobs? The most popular types of Rlhf jobs are:
What states have the most Rlhf jobs? States with the most job openings for Rlhf jobs include:
Infographic showing various Rlhf job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Head of Sales - RLHF Vertical

Head of Sales - RLHF Vertical

RYZ Labs

San Francisco, CA • Remote

Full-time

Posted 25 days ago


Job description

Ryz Labs is seeking a Head of Sales to own the GTM strategy, execution, and revenue growth for our RLHF vertical. Based in San Francisco, this leader will be responsible for building and managing the sales function, driving new customer acquisition, and establishing RYZ Labs as the go-to partner for RLHF-driven solutions in the U.S.

This role requires a strong mix of enterprise sales expertise, strategic thinking, and the ability to build relationships across industries where RLHF can drive transformative value.

Key Responsibilities

- Build and lead the sales organization for the RLHF vertical, including hiring, training, and performance management.
- Define and execute the GTM strategy for enterprise and mid-market clients in the U.S.
- Identify and prioritize target accounts across industries (e.g., tech, finance, healthcare, enterprise SaaS).
- Partner with marketing and product teams to refine value propositions and market positioning.
- Drive end-to-end enterprise sales cycles, from prospecting to close.
- Own revenue targets and consistently deliver against growth objectives.
- Represent RYZ Labs at events, conferences, and with media/analyst communities.
- Act as a trusted advisor to C-level stakeholders on RLHF adoption and strategy.
- Work closely with engineering, product, and operations teams to ensure delivery alignment.
- Provide market feedback to inform R&D and solution roadmaps.

Qualifications

- 8+ years of experience in enterprise sales or business development, including leadership roles.
- Proven track record of closing $1M+ enterprise deals and scaling sales organizations.
- Deep understanding of AI/ML markets; familiarity with RLHF and its applications is strongly preferred.
- Strong network in San Francisco and U.S. tech ecosystem.
- Entrepreneurial mindset, with ability to thrive in a fast-paced, evolving environment.
- Exceptional communication, negotiation, and leadership skills.

About RYZ Labs:

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Our values and what to expect:

- Customer First Mentality - every decision we make should be made through the lens of the customer.
- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.
- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. 
- Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.
- Frugality - being frugal and cost-conscious helps us do more with less
- Deliver Impact - get things done most efficiently. 
- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.