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Remote Rlhf Jobs (NOW HIRING)

G2i

TypeScript - Software Engineer (Remote)

Miami, FL · On-site +1

$30 - $70/hr

RLHF in one line: Generate code → expert engineers rank, edit, and justify → convert that ... Fully remote - work from anywhere on the accepted locations list * Compensation: $30-$70/hr based ...

Centific

Applied Reinforcement Learning Engineer

Palo Alto, CA or Seattle, WA (Hybrid/Remote) About the Team Centific AI Research advances ... TD(0), TD(λ), eligibility traces, bootstrapping methods LLM Alignment & Post-Training • RLHF ...

Mercor

Bilingual Analyst - Urdu Expert

New York, NY · Remote

$15 - $20/hr

Remote Role Responsibilities * Conduct fact-checking using trusted public sources and external ... Experience with RLHF, model evaluation, or data annotation work * Experience writing or editing ...

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Remote Rlhf information

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

To succeed as a Remote RLHF Engineer, you need expertise in machine learning, reinforcement learning, and programming languages like Python, often supported by an advanced degree in computer science or related fields. Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Strong problem-solving, communication, and self-management skills are vital for remote collaboration and interpreting human feedback effectively. These skills enable the development of robust AI systems that can learn efficiently from human input while ensuring productive teamwork in a distributed environment.

How does a Remote RLHF (Reinforcement Learning from Human Feedback) specialist typically collaborate with other team members?

A Remote RLHF specialist often works closely with data scientists, machine learning engineers, and product managers to design and refine AI models using human feedback. Collaboration usually happens through regular virtual meetings, cloud-based code repositories, and shared annotation tools. The role requires clear communication to ensure that human feedback is accurately integrated into the learning process and that model improvements align with project goals. Being proactive in sharing findings and challenges is key, as team members may be distributed across different time zones.

What is a Remote RLHF job?

A Remote RLHF (Reinforcement Learning from Human Feedback) job involves working with artificial intelligence systems, particularly large language models, to improve their performance using feedback from humans. In this role, individuals may annotate data, provide quality evaluations, or help design feedback mechanisms while working from a remote location. These jobs are crucial for ensuring AI models align better with human values and expectations, and they are often offered by AI research companies or organizations focused on machine learning. The work can involve tasks such as ranking AI-generated responses, identifying errors, and suggesting improvements. Remote RLHF positions are popular due to their flexibility and the opportunity to contribute to cutting-edge AI technology.

What is the difference between Remote Rlhf vs Remote Rlhf?

AspectRemote RlhfRemote Rlhf
CredentialsTypically requires certification in mental health or counseling, such as LPC or LCSWSimilar credentials, often with additional training in specific therapy methods
Work EnvironmentRemote, client-facing sessions via telehealth platformsRemote, providing therapy or support services online
Industry UsageCommon in mental health, therapy, and counseling sectorsUsed in mental health and support services, often interchangeably with Rlhf

Remote Rlhf and Remote Rlhf are similar roles in mental health support, primarily differing in specific certifications or training focus. Both roles involve providing remote therapy or support services via telehealth platforms, making them highly comparable in work environment and industry usage.

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Remote Rlhf jobs near you
Infographic showing various Remote Rlhf job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 1% As Needed, 1% Full Time, 75% Part Time, and 21% Contract. 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 16 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.