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Remote Rlhf Jobs (NOW HIRING)

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

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

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Experience with model fine-tuning (LoRA, PEFT, RLHF basics) * Knowledge of MLOps tools and CI/CD ...

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 ...

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

We collaborate closely with platform, product, and operations partners in a fast-moving, remote ... RLHF, RLAIF, or DPO for multi-objective optimization. * Develop reward models and objective ...

RLHF, DPO, or other preference optimization methods * Experience with multi-GPU training and large ... remote first since our founding in 2018. We offer flexible hours so you can do your best work ...

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 ...

New

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 ...

New

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 ...

New

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 ...

New

Senior AI Engineer

Los Altos, CA · On-site +1

$123.80K - $169.90K/yr

We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ... Build and improve the feedback loops - fine-tuning, reward models, RLHF, and RLAIF - that keep ...

S.-based remote position. Candidates must reside in the United States.Applicants must be currently ... Maintain a deep understanding of the AI ecosystem, particularly AI safety, RLHF, evaluation, red ...

S.-based remote position. Candidates must reside in the United States. Applicants must be currently ... Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows.

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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.

More about Remote Rlhf jobs
What cities are hiring for Remote Rlhf jobs? Cities with the most Remote 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 Remote Rlhf jobs? States with the most job openings for Remote Rlhf jobs include:
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.

$100K/yr

Full-time

Posted 9 days ago


Job description

Job Description
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site"
AI/ML Engineer
Job Category: Engineering
  • Pay or shift range: $123,559 USD to $167,169 USD
    The posted range is the estimated budget amount for this position. Final offers are based on various factors, including level of position, skill set, experience, qualifications, location, internal equity, and other job-related reasons.

Description
The company is seeking a mid-to-senior-level AI Engineer who loves wrestling with large language models (LLMs) and building useful products. You will design and ship AI-powered applications that leverage the latest LLMs while meeting the strict privacy and security requirements of the healthcare industry.
Primary Responsibilities:
  • Develop AI-powered applications using state-of-the-art LLMs. You will build and deploy applications for our internal customers, selecting the right models (e.g., GPT-4o, Claude Sonnet 4, Gemini 2.5 or open-source alternatives).
  • Implement retrieval-augmented generation (RAG) pipelines and agents using LangChain, LangGraph, LlamaIndex, and other emerging frameworks.
  • Integrate ML models with front-end apps, REST APIs, and backend systems.
  • Design and build end-to-end AI systems-ranging from chatbots and recommendation engines to vision-based pipelines.
  • Build robust logic around ML models to address edge cases, failovers, and complex business rules.
  • Leverage prebuilt models or services (e.g., OpenAI API, Azure Cognitive Services, HuggingFace) to accelerate development cycles.
  • Fine-tune and customize models using LoRA, prompt tuning, or RLHF techniques.
  • Occasionally perform custom model training-but more often fine-tune or adapt existing models to meet business needs.
  • Work with vector databases (e.g., Pinecone, Weaviate) and explore graph-based approaches (e.g., GraphRAG, Knowledge Graphs).
  • Ensure privacy and compliance with HIPAA, including encryption, PHI protection, and vendor due diligence.
  • Prototype multi-agent systems using frameworks like CrewAI or Stands SDK and evaluate emerging agent orchestration solutions.
  • Collaborate cross-functionally with product managers, data scientists, and compliance teams.
  • Mentor junior engineers, lead innovation discussions, and continuously evaluate emerging LLM architectures.

Required Qualifications/Competencies (Must have all minimum requirements on resume to be considered):
  • Bachelor's degree from an accredited college in Computer Science, Computer Engineering, Statistics, Data Science or another similar quantitative field. Additional experience in lieu of a degree may be considered.
  • 9+ years in software engineering or machine learning, with 2+ years building production AI/ML systems.
  • Strong programming skills in Python and Typescript.
  • Experience with REST APIs and frameworks like Flask or FastAPI.
  • Familiarity with LangChain, LlamaIndex, HuggingFace Transformers, SGLang, and OpenAI API.
  • Experience with RAG architectures, including vector databases and GraphRAG approaches.
  • Experience deploying AI solutions using cloud platforms (AWS, Azure, or GCP).
  • Understanding of HIPAA compliance: handling PHI, encryption protocols, and vendor BAAs.
  • Experience in prompt engineering, prompt security, and evaluation strategies.
  • Familiarity with containerization, CI/CD, and MLOps pipelines

Preferred Qualifications:
  • Experience in healthcare, life sciences, or other regulated industries.
  • Background in autonomous agents and orchestration frameworks (e.g., CrewAI, Strands, OpenAI Agents SDK).
  • Exposure to multi-modal models (e.g., GPT-4o, Pixtral Large).
  • Knowledge of chain-of-thought reasoning and RLHF workflows.
  • Additional languages like Rust or Go; experience with microservices or event-driven architecture.