GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration:LeadReinforcement Learning from Human Feedback (RLHF)cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance ...
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration:LeadReinforcement Learning from Human Feedback (RLHF)cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance ...
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration:LeadReinforcement Learning from Human Feedback (RLHF)cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance ...
Quick apply
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration:LeadReinforcement Learning from Human Feedback (RLHF)cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance ...
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
Machine Learning Engineer
Atlanta, GA · On-site
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
Machine Learning Engineer
Atlanta, GA · On-site
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
Machine Learning Engineer
Kennesaw, GA · On-site
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
Machine Learning Engineer
Kennesaw, GA · On-site
... RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or ...
AI Engineer
Alpharetta, GA · On-site
Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...
AI Engineer
Alpharetta, GA · On-site
Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration: Lead Reinforcement Learning from Human Feedback (RLHF) cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to ...
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration: Lead Reinforcement Learning from Human Feedback (RLHF) cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to ...
AI Engineer
Alpharetta, GA · On-site
Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...
AI Engineer
Alpharetta, GA · On-site
Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...
Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain-specific alignment for HR and Finance workflows. * Publish & Open Source: Lead Workday's contribution ...
Advance Workday's proprietary capabilities in pre-training, post-training (RLHF, DPO), and domain-specific alignment for HR and Finance workflows. * Publish & Open Source: Lead Workday's contribution ...
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration: Lead Reinforcement Learning from Human Feedback (RLHF) cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to ...
Quick apply
GenAI Tuning Analyst
Norcross, GA · On-site
RLHF & Quality Calibration: Lead Reinforcement Learning from Human Feedback (RLHF) cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to ...
... RLHF, RAG and Knowledge graph etc. • Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external ...
... RLHF, RAG and Knowledge graph etc. • Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external ...
Build and optimize training using techniques such as SFT, RLHF, PPO, DPO, GRPO, RLAIF, and Constitutional AI, and understand how each affects reasoning quality, safety, latency, cost, and reliability.
Build and optimize training using techniques such as SFT, RLHF, PPO, DPO, GRPO, RLAIF, and Constitutional AI, and understand how each affects reasoning quality, safety, latency, cost, and reliability.
Specialized expertise in other topics like fine-tuning, RLHF, RAG and Knowledge graph etc. * Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless ...
Specialized expertise in other topics like fine-tuning, RLHF, RAG and Knowledge graph etc. * Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless ...
Specialized expertise in other topics like fine-tuning, RLHF, RAG and Knowledge graph etc. * Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless ...
Specialized expertise in other topics like fine-tuning, RLHF, RAG and Knowledge graph etc. * Experience in designing and implementing Model Context Protocol (MCP) servers to enable seamless ...
Fine-tuning, instruction tuning, RLHF, and domain adaptation * Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration. * Tools for inference performance testing and ...
New
Fine-tuning, instruction tuning, RLHF, and domain adaptation * Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration. * Tools for inference performance testing and ...
New
... RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM ...
New
... RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM ...
New
... RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM ...
New
... RLHF, RLAIF, fine-tuning, or distillation to smaller models) into production Published or open-source work in agent infrastructure or evaluation tooling Cost management (FinOps) experience for LLM ...
New
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 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?
| Aspect | Rlhf | Rn |
|---|---|---|
| Required Credentials | Licensed healthcare professional, often with specialized training in mental health or behavioral health | Licensed practical nurse or registered nurse, with nursing licensure and possibly additional certifications |
| Work Environment | Behavioral health facilities, clinics, hospitals, or community health settings | Hospitals, clinics, long-term care facilities, and community health settings |
| Employer & Industry Usage | Behavioral health and mental health services | General healthcare and nursing services |
| Common Search & Comparison | Rlhf vs Rn | Rlhf 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 job categories do people searching Rlhf jobs in Decatur, GA look for? The top searched job categories for Rlhf jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Rlhf jobs? Cities near Decatur, GA with the most Rlhf job openings:
Job description
****Applicants must be authorized to work for ANY employer in the U.S.
We are unable to sponsor or take over sponsorship of an employment Visa at this time.
No agencies please.
Role Overview
As aGenAI Tuning Analyst, you willbe responsible forthe continuous improvement, accuracy, and "brand voice" of our Generative AI deployments within the Contact Center ecosystem, including agentic bots. You will work at the intersection of data science, linguistics, and customer operations to ensure our AI agents and agent-assist tools provide precise, empathetic, and compliant resolutions.
This role requires aprofessional learner; ahigh-signal individual who pairs raw brainpower and adaptability with the hunger to master the evolving science of AI performance.
Your goal is to transform generic LLMoutputinto specialized,contactcenterdomain-aware intelligence.
Key Responsibilities
- RLHF & Quality Calibration:LeadReinforcement Learning from Human Feedback (RLHF)cycles. You will review AI-generated outputs and "grade" them based on accuracy, empathy, and adherence to compliance protocols.
- Participate inCustomerTuningmonthlymeetingspertaining toa complete suiteof USANAI ProductSpecificdeployments.
- Performance Monitoring:Define and track AI-specific KPIs, such asHallucination Rate,Refusal Rate, andIntent Accuracy, alongside traditional metrics likeFirst Contact Resolution (FCR).
- Bias & Safety Guardrails:Implement and monitor safety filters to ensure the AIremainsneutral,avoidsprohibited topics, and protects PII (Personally Identifiable Information).
- Cross-Functional Collaboration:Partner with Subject Matter Experts (SMEs) in Legal, Compliance, and Operations to translate business policy into technical model constraints.
- Prompt Engineering & Optimization:Iterate on complex system prompts to guide LLM behavior for specific contact center use cases (e.g., automated summaries, live chat responses, and knowledge base retrieval).
- Data Curation:Identifyand curate high-quality "golden datasets" from historical call transcripts and chat logs tobe usedfor fine-tuning and few-shot prompting.
Ideal CandidateSkills
Analytical Pattern Recognition:Naturallyidentifiespatterns in data and customer language, using strong data and business analytics skills to interpret trends and organize information effectively.
Customer-facingskills for both the supervisory and executive sponsors of AI deployed in USAN's cloud contact center offerings.
Comfort with Ambiguity:Able to make thoughtful decisions in gray areas, applying sound judgment todeterminehow conversational intents shouldbe categorized, merged, or preserved.
Curiosity About Customer Communication:Interested in how customers naturally express their needsandareable totranslate that language into meaningful insights for AI optimization.
Process Improvement Mindset:Enjoys working with data repeatedly while finding smarter waysprocessandanalyzingit,such as building Excel formulas, spotting systematic issues, and improving workflows.
Trust-Based Collaboration:Builds credibility and trust with clients and internal teams while working collaboratively to improve AI performance and data quality.
Functional Requirements Writing:Translate customer feedback into actionable product improvements by gathering input, researching root causes, writing clear technical requirements for developers, and analyzing post-update results (e.g., for agent scorecards/GenAI tools) before returning changes to the customer.
Required Qualifications
Experience
- 1-2 years in AI/NLP, Data Analysis, high-level Contact Center Operations.
- Analyzing Intent Accuracy toidentifygaps in the AI's natural language understanding (NLU/NLP).
- UAT Support: Experience assisting in User Acceptance Testing for new AI features or tool rollouts.
- Secondary experience in Quality Assurance is a plus.
Technical Skills
- Proficiencyin prompt engineering techniques (Chain-of-Thought, Few-Shot, ZeroShot).
- Basic understanding of LLM architectures (GPT-4, Claude, Llama).
- Skilled at identifyingtrends in customer interaction data to suggest process improvements.
Communication
- Exceptional written and verbal communication skills with an obsession over tone, grammar, and brand consistency.
- Ability to act as a bridge between technical teams and frontline operations.
- Moderate customer meetings to align with company direction on our AI tools.
Preferred "Bonus" Skills
- Experience withRAG (Retrieval-Augmented Generation)frameworks.
- Background in Linguistics or Cognitive Science.
- Experience with data visualizationtools (Tableau/PowerBI)and basic SQL to pull interaction data.
- Familiarity with Contact Center platforms (e.g.,Amazon ConnectWorkspaces,Salesforce Service Cloud, Genesys, Nice, or HubSpot).
Why This Role Matters
In the modern contact center, the AI isthefirst impression. The Tuning Analyst ensures that impression is not just intelligent, but human-centric and helpful.
Job Benefits:
Healthcare benefits
401K plan
Paid company holidays
Paid vacation
Business casual work environment
Annual performance based bonus program
Company Description
United States Advanced Network, In. (USAN) is a privately held corporation based out of Norcross, GA (a suburb of Atlanta, GA). USAN is an AWS Advanced Tier Partner specializing in Amazon Connect, helping organizations design and deploy scalable, AI-driven customer interactions that accelerate time to value and maximize ROI. With over 35 years of deep contact center expertise, USAN delivers modern agentic CX solutions and a white-glove approach to optimizing and managing cloud contact center environments through its managed services.
For more information, please visit us at www.usan.com
About USAN
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
Norcross, GA, US
Year founded
1989