$150 - $190/hr
LLM fine‑tuning experience (LoRA, RLHF, PEFT) * Performance optimization (GPU/TPU acceleration ... This is a fully remote role with the flexibility to work from anywhere in USA, must have ...
$150 - $190/hr
LLM fine‑tuning experience (LoRA, RLHF, PEFT) * Performance optimization (GPU/TPU acceleration ... This is a fully remote role with the flexibility to work from anywhere in USA, must have ...
$188 - $235/hr
... Feedback (RLHF), model fine‑tuning, or preference learning. * Experience building internal ... One time WFH Office Set-Up Stipend * 401(k) retirement plan * Financial Planning * Learning ...
$188 - $235/hr
... Feedback (RLHF), model fine‑tuning, or preference learning. * Experience building internal ... One time WFH Office Set-Up Stipend * 401(k) retirement plan * Financial Planning * Learning ...
$140 - $190/hr
... home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals ... Proven mastery of modern AI/LLM workflows -- prompt engineering, fine tuning (LoRA, RLHF ...
$140 - $190/hr
... home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals ... Proven mastery of modern AI/LLM workflows -- prompt engineering, fine tuning (LoRA, RLHF ...
From Home Rlhf information
What is a from home RLHF?
A 'From Home RLHF' job typically refers to remote positions where individuals contribute to Reinforcement Learning from Human Feedback (RLHF). These roles often involve providing feedback on AI model outputs, ranking responses, or labeling data to help train and improve artificial intelligence systems. Working from home, individuals can participate in tasks such as evaluating chatbot conversations, reviewing AI-generated content, or annotating data sets. RLHF jobs are popular in the AI and machine learning industry and usually require good communication skills and the ability to follow detailed instructions.
What are the key skills and qualifications needed to thrive as a remote RLHF specialist, and why are they important?
To thrive as a Remote RLHF Specialist, you need a solid background in machine learning, reinforcement learning, and data analysis, often supported by a degree in computer science or a related field. Familiarity with Python, deep learning frameworks (such as TensorFlow or PyTorch), and experience with RLHF pipelines or related systems are typically required. Strong problem-solving abilities, clear communication, and the ability to work independently make someone stand out in this position. These skills are essential to effectively develop, evaluate, and optimize AI models based on human feedback while collaborating remotely with interdisciplinary teams.
What are some common challenges faced by remote RLHF professionals, and how can they be managed?
Remote RLHF professionals often encounter challenges such as coordinating effectively with distributed teams, managing asynchronous feedback cycles, and staying updated on evolving research and tooling. To address these, it's important to establish clear communication channels, set regular check-ins, and proactively document progress and findings. Participating in online communities and internal knowledge-sharing sessions can also help maintain a sense of collaboration and keep you informed about new methodologies and best practices.
What is the difference between From Home Rlhf vs From Home Customer Service Representative?
| Aspect | From Home Rlhf | From Home Customer Service Representative |
|---|---|---|
| Required Credentials | High school diploma or equivalent, basic computer skills | High school diploma or equivalent, customer service experience |
| Work Environment | Remote, home-based | Remote, home-based |
| Industry Usage | Healthcare, insurance, or related fields | Retail, telecom, or service industries |
| Common Search Intent | Remote healthcare or insurance roles | Customer support jobs from home |
From Home Rlhf typically refers to remote roles in healthcare or insurance sectors, requiring specific industry knowledge. From Home Customer Service Representative positions are more general, focusing on customer support across various industries. Both roles are home-based, but they differ in industry focus and required experience.
What are the most commonly searched types of Rlhf jobs in Kentucky?
The most popular types of Rlhf jobs in Kentucky are:
What are popular job titles related to From Home Rlhf jobs in Kentucky?
For From Home Rlhf jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching From Home Rlhf jobs in Kentucky look for?
The top searched job categories for From Home Rlhf jobs in Kentucky are:
$150 - $190/hr
Other
Posted 5 days ago
Job description
EazyML, (www.EazyML.com) recognized by Gartner, specializes in Responsible AI. Our solutions enable proactive compliance and sustainable automation for enterprises adopting AI at scale. We're also associated with breakthrough startups like Amelia.ai, giving our team exposure to cutting-edge AI products at enterprise scale.
About the RoleAre you a hands-on GenAI expert who loves building production-grade agentic systems and talking directly with customers about how AI solves real business problems? We want to hear from you.
We're looking for a Senior Agentic AI/Generative AI Engineer to help architect our next-generation AI-driven products — from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands‑on engineering, and client conversations.
Key Responsibilities:- Architect and build scalable Generative AI and agentic AI applications, end to end
- Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
- Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines
- Select, customize, fine-tune, and optimize state-of-the-art LLMs
- Design and own full ML/GenAI pipelines — training, deployment, monitoring, lifecycle management
- Build APIs, microservices, and integration frameworks to bring AI into enterprise products
- Champion responsible AI practices — mitigating hallucinations, bias, and reliability risks
- Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
- Mentor engineers and help shape our long-term AI platform strategy
- 8+ years in traditional ML, including 2+ years hands‑on with Generative AI
- Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
- Real‑world experience with LangChain/LangGraph or similar agentic frameworks
- Strong Python skills — API wrappers, third‑party integrations, internal tooling
- Solid foundation in Transformers, CNNs, RNNs — hands‑on with TensorFlow, PyTorch, Scikit‑learn
- Experience with NLP, embedding models, and vector databases
- Hands‑on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open‑source models
- Experience designing distributed, cloud‑native architectures (microservices, REST APIs)
- Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
- MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management
- Excellent communication skills — you can translate technical depth for non‑technical stakeholders
- Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
- Comfort with startup pace and strong ownership mentality
- LLM fine‑tuning experience (LoRA, RLHF, PEFT)
- Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
- AI observability/monitoring tool experience
- Familiarity with AI governance and compliance (GDPR, SOC 2)
- Prior consulting or solution‑architecture experience shipping enterprise AI products
- Background in financial services, healthcare, or insurance
Join a Gartner‑recognized Responsible AI company at the forefront of enterprise GenAI adoption, with the opportunity to work on cutting‑edge agentic AI systems alongside a team connected to leading AI ventures like Amelia.ai. This is a fully remote role with the flexibility to work from anywhere in USA, must have authorization to work in US.