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Remote Rlhf Jobs (NOW HIRING)

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 ...

Zillow

Principal Applied Scientist, Agentic AI

$181K - $290K/yr

... RLHF, RLAIF, or DPO for multiobjective optimization. * Develop reward models and objective ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

HumanSignal

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ... Familiarity with AI data operations, annotation, or RLHF workforce programs * Experience with ATS ...

HumanSignal

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ... Familiarity with AI data operations, annotation, or RLHF workforce programs * Experience with ATS ...

HumanSignal

High Volume (TOFU) Recruiter

San Francisco, CA · On-site +1

$55K - $100K/yr

San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ... Familiarity with AI data operations, annotation, or RLHF workforce programs * Experience with ATS ...

ESR Healthcare

LLM Red-Teamer

Remote Scope of Work * Develop complex, adversarial multi-turn conversations and task-based ... Prior experience in AI human data environments (RLHF, SFT, evaluations, annotation, or prompt ...

HumanSignal

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

San Francisco, CA preferred; open to other remote options About the Role HumanSignal Services runs ... Familiarity with AI data operations, annotation, or RLHF workforce programs * Experience with ATS ...

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Remote Rlhf information

What is a remote RLHF?

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.

How does a remote RLHF 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 are the key skills and qualifications needed to thrive as a remote RLHF 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.

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.

More about Remote Rlhf jobs

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Remote Rlhf jobs near you
Infographic showing various Remote Rlhf job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 78% Full Time, 11% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

AI Rater Guidelines Writer (Linguist / Instructional Designer)

Remote

Weekday AI
See more jobs at Weekday AIexternal

$45 - $65/hr

Part-time

Re-posted 15 days ago

Job description

This role is for one of our clients
Compensation: $45-$65 per hour
Join a cutting-edge AI initiative focused on building the next generation of foundational AI models. We are seeking experienced Linguists, Instructional Designers, Technical Writers, and AI Content Specialists who excel at transforming complex, ambiguous program requirements into clear, structured, and actionable guidance for human evaluators.
In this role, you will play a critical part in improving AI training quality by creating precise rating guidelines, evaluation rubrics, and reviewer instructions across diverse domains including finance, retail, insurance, legal, and sports. Your expertise will help ensure consistency, accuracy, and reliability in human evaluations that directly shape advanced AI systems.
This is a full-time, fully remote engagement requiring a commitment of approximately 35 hours per week during standard weekdays.
Requirements
Key Responsibilities
  • Translate complex and ambiguous program requirements into clear, concise, and easy-to-follow rater guidelines.
  • Design comprehensive evaluation rubrics and scoring frameworks that enable consistent decision-making across a variety of AI tasks.
  • Review existing documentation to identify ambiguity, inconsistencies, contradictions, and coverage gaps, then revise guidelines to improve clarity and usability.
  • Convert subject-matter requirements from domains such as finance, retail, insurance, legal, and sports into structured evaluation instructions that non-domain raters can apply confidently.
  • Collaborate with research teams, program managers, and subject matter experts to maintain consistency across multiple guideline sets.
  • Develop documentation that addresses edge cases, exceptions, and complex evaluation scenarios while minimizing reviewer escalation.
Required Qualifications
  • Minimum 3 years of professional experience in Linguistics, Instructional Design, Technical Writing, AI Content Development, or a closely related field.
  • Direct experience creating, refining, or maintaining evaluation guidelines, rating rubrics, or reviewer instructions within Generative AI, RLHF, human evaluation, or AI data annotation environments.
  • Demonstrated ability to work across multiple subject areas and convert domain-specific knowledge into clear, structured documentation.
  • Proven experience resolving ambiguity and improving written specifications with measurable before-and-after improvements.
  • Strong analytical thinking with exceptional attention to detail.
  • Demonstrated career progression and professional growth.
  • Ability to commit reliably to 35+ hours per week during weekdays.
  • Outstanding written communication skills with the ability to explain nuanced concepts in a precise, consistent, and easy-to-understand manner.
Preferred Qualifications
  • Experience supporting AI model training, evaluation, RLHF, or large-scale annotation programs.
  • Background working with cross-functional teams including researchers, engineers, product managers, and subject matter experts.
  • Familiarity with structured documentation standards, quality assurance methodologies, and guideline governance.
  • Experience designing documentation that supports scalable, high-quality human evaluation processes.
Why Join
  • Help define how human evaluators assess next-generation AI systems.
  • Influence the quality and consistency of AI training data across multiple industries.
  • Collaborate with multidisciplinary experts working on advanced Generative AI initiatives.
  • Solve complex language and reasoning challenges while improving AI evaluation standards at scale.
  • Enjoy the flexibility of a fully remote engagement while contributing to high-impact AI research.
Equal Opportunity
We are committed to creating an inclusive workplace and welcome applications from qualified professionals of all backgrounds. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working arrangements.
  • Expected commitment of approximately 35 hours per week during weekdays.
  • Project duration may vary depending on business requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

Apply