LLM Instruction Datasets & RLHF

Building responsible, high-performing LLMs starts with the right data. We create high-quality instruction datasets and apply RLHF techniques to help your models align better with human intent, nuance, and safety.

LLM Instruction Datasets & RLHF

The World’s Most Trusted LLM Instruction Datasets & RLHF Services

From carefully crafted instruction data to fine-tuned reinforcement learning with human feedback, we deliver high-quality datasets that shape LLMs for accuracy, alignment, and real-world usability.

Explore Our Services

Trusted by the World's Most Innovative Companies

Pushing the Boundaries Beyond "Acceptable"

Instruction Dataset Creation

Instruction Dataset Creation

We create diverse, high-quality instruction datasets that guide LLMs to perform specific tasks effectively, from summarization and reasoning to translation and classification.

  • Generate 50,000+ diverse instruction-response pairs with 98% accuracy validation.
  • Cover 15+ task categories including reasoning, creative writing & technical analysis.
  • Ensure balanced representation across difficulty levels and use cases.
  • Implement rigorous quality control with multi-expert review processes.

Prompt Engineering Support

Our experts design and test optimized prompts that enhance LLM performance and ensure consistent, context-aware outputs for your use case.

  • Achieve 40-60% improvement in response quality through systematic prompt optimization.
  • Test 100+ prompt variations to identify the most effective formulations.
  • Create reusable prompt templates for consistent performance across applications.
  • Provide detailed documentation and best practices for prompt management.
Prompt Engineering Support
Reinforcement Learning with Human Feedback (RLHF)

Reinforcement Learning with Human Feedback (RLHF)

We fine-tune your models with real human feedback to align them with ethical standards, user intent, and safety guidelines, improving response quality and control.

  • Deploy expert human evaluators with domain-specific expertise for nuanced feedback.
  • Implement multi-round feedback loops to continuously improve model alignment.
  • Reduce harmful outputs by 95% while maintaining model creativity and usefulness.
  • Establish comprehensive safety protocols and bias detection mechanisms.

Multi-Turn Conversation Dataset Generation

Train your LLMs to handle realistic, flowing conversations. We build high-quality multi-turn dialogue datasets that reflect how users interact in the real world.

  • Generate conversation flows spanning 5-15 turns with natural context progression.
  • Include diverse conversation scenarios: customer service, technical support, casual chat.
  • Maintain conversation coherence and context awareness throughout extended dialogues.
  • Test conversation quality with real user interactions and feedback validation.
Multi-Turn Conversation Dataset Generation
Domain-Specific Instruction Tuning

Domain-Specific Instruction Tuning

Whether you're in legal, healthcare, finance, or education, we create tailored datasets that align your LLMs to the language, tone, and accuracy your domain demands.

  • Leverage subject matter experts with 10+ years of experience in target domains.
  • Ensure 99%+ accuracy for domain-specific terminology and regulatory compliance.
  • Create specialized datasets covering industry workflows, protocols, and best practices.
  • Validate outputs against industry standards and professional benchmarks.

Dataset Quality Review & Iteration

Our team continuously reviews and refines your instruction datasets based on model performance and evolving objectives, keeping your AI sharp and relevant.

  • Conduct systematic quality audits using automated tools and human expert review.
  • Track performance metrics and identify improvement opportunities through A/B testing.
  • Implement continuous feedback loops with regular dataset updates and refinements.
  • Guarantee dataset freshness with quarterly reviews and objective-based iterations.
Dataset Quality Review & Iteration
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Why Choose Hurix.ai for LLM Instruction Datasets & RLHF Services

Purpose-Built Datasets for Smarter Language Models

We don’t offer one-size-fits-all data. Our team curates high-quality, domain-specific instruction datasets tailored to your Large Language Model (LLM) goals — from conversational agents to enterprise-specific tasks.

Human Feedback That Actually Teaches Your Model

With a trained pool of domain experts and linguists, we collect Reinforcement Learning from Human Feedback (RLHF) with precision. This helps your models generate more useful, safer, and context-aware responses.

End-to-End Control: From Prompting to Alignment

From instruction tuning to ranking outputs for preference modeling, we handle the complete RLHF cycle — giving you full control over model alignment and ethical output behavior.

Scalable Annotation & Evaluation Workflows

Whether you're fine-tuning a small custom model or a billion-parameter LLM, our scalable data pipelines support high-volume annotation, multi-turn dialog evaluation, and complex reasoning benchmarks.

Built-In Quality, Security & Compliance

We combine multilayered quality assurance, data validation, and privacy-compliant workflows — ensuring your datasets meet regulatory standards and enterprise-grade reliability.

Train Your LLM the Right Way — With the Right Data

Stop relying on generic data. Our curated instruction datasets and expert-tuned feedback help your models deliver accurate, context-aware results.

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Top Use Cases

AI Research Labs & Innovation Teams

  • Building state-of-the-art LLMs that require custom instruction tuning.
  • Need high-quality datasets and human feedback to align outputs with research goals.
  • Experimenting with RLHF to improve model behavior in sensitive applications.

Conversational AI & Virtual Assistant Teams

  • Developing chatbots or voice assistants that require natural, multi-turn interactions.
  • Need instruction-rich training data and human-ranked responses to fine-tune intent and tone.
  • Looking to improve response safety, consistency, and contextual relevance.

Enterprise AI Product Teams

  • Building internal LLMs for summarization, search, knowledge management, or support automation.
  • Require custom instruction sets that reflect domain-specific tasks and language.
  • Need scalable RLHF workflows to align models with enterprise policies and tone.

Customer Support Automation Teams

  • Training LLMs to handle support queries, troubleshoot issues, or escalate tickets.
  • Need clear, instruction-rich datasets to teach models how to respond accurately and empathetically.
  • Require RLHF to fine-tune tone, intent detection, and escalation logic.

Industries we Serve

Healthcare

Healthcare

Predict patient risks, optimize resources, and improve care with smarter forecasting and supply management.

Healthcare

Retail & E-commerce

Anticipate customer behavior, manage inventory, and drive sales with predictive demand and pricing insights.

Healthcare

Banking & Finance

Strengthen credit scoring, detect fraud early, and forecast market trends to make confident financial decisions.

Healthcare

Manufacturing

Reduce downtime, improve quality, and optimize energy use with predictive maintenance and demand forecasting.

Healthcare

Transportation & Logistics

Enhance routing, delivery accuracy, and fleet management through advanced traffic, fuel, and maintenance predictions.

Healthcare

Telecom

Predict churn, prevent fraud, and boost network performance with data-driven customer and usage insights.

Healthcare

Insurance

Optimize risk assessment, pricing, and fraud detection to deliver smarter, fairer insurance solutions.

Healthcare

Energy & Utilities

Balance supply and demand, protect grids, and unlock renewable energy potential with accurate load forecasting.

Healthcare

Education

Identify at-risk students, personalize learning, and predict enrollment trends to drive student success.

Healthcare

Travel & Hospitality

Forecast bookings, personalize experiences, and optimize pricing to delight travelers and maximize revenue.

See Why Industry Leaders Trust Hurix.ai

Nolan Everhart
Nolan Everhart
VP of AI Systems

The custom instruction datasets we received played a key role in refining our LLM's performance across multiple use cases. The level of detail and alignment with human expectations was outstanding.

Mathew Quinlan
Mathew Quinlan
Chief Technology Officer

We needed a partner who understood both the nuance of language and the technical rigor of RLHF. The team delivered datasets that not only improved response accuracy but drastically reduced post-training iterations.

Griffin Daley
Griffin Daley
Chief Product Scientist

Thanks to the high-quality prompt engineering and RLHF support, our LLM now performs consistently better in both user engagement and safety benchmarks. It's been a game-changer for our GenAI roadmap.

Ready-to-Use Industry Use Cases That Drive Business Results

Hurix Digital Builds a Scalable Video Evaluation Framework for AI-Generated Content

Hurix Digital Builds a Scalable Video Evaluation Framework for AI-Generated Content

Hurix Digital Delivers 100% Plagiarism-Free Reasoning Prompts at Scale

Hurix Digital Delivers 100% Plagiarism-Free Reasoning Prompts at Scale

Hurix Digital Streamlines Video Q&A Generation with 100% Accuracy

Hurix Digital Streamlines Video Q&A Generation with 100% Accuracy

Hurix Digital Standardizes AI Response Evaluation for a Global AI Partner

Hurix Digital Standardizes AI Response Evaluation for a Global AI Partner

Hurix Digital Delivers 1,000+ On-Brand AI Responses for a Global AI Solutions Provider

Hurix Digital Delivers 1,000+ On-Brand AI Responses for a Global AI Solutions Provider

Hurix Digital Delivers Multilingual, Citation-Rich Q&A Content

Hurix Digital Delivers Multilingual, Citation-Rich Q&A Content

Hurix Digital Enables Scalable Multi-Annotator Prompt Creation

Hurix Digital Enables Scalable Multi-Annotator Prompt Creation

Hurix Digital Scales High-Accuracy Data Labeling for Conversational AI at Enterprise Level

Hurix Digital Scales High-Accuracy Data Labeling for Conversational AI at Enterprise Level

Hurix Digital Builds Instruction-Focused Dataset for Enterprise-Grade LLM Training

Hurix Digital Builds Instruction-Focused Dataset for Enterprise-Grade LLM Training

Hurix Digital Summarizes Visual Content with Frame-Level Clarity for Safer AI Insights

Hurix Digital Summarizes Visual Content with Frame-Level Clarity for Safer AI Insights

FAQs

Reinforcement Learning with Human Feedback (RLHF) helps align LLMs with human values, tone, and intent. It improves the model’s ability to generate safe, context-aware, and high-quality responses by learning from human preferences and feedback.

We include high-quality, diverse, and domain-specific prompts and responses — covering single-turn and multi-turn instructions across formats like text, code, dialogue, summaries, and more, depending on your goals.

Yes. We build tailored instruction datasets for sectors such as healthcare, legal, finance, education, and customer service to ensure your LLM understands context, tone, and compliance needs specific to your industry.

We generate multiple outputs for each instruction, have human reviewers rank them based on quality, relevance, and tone, and then use those rankings to fine-tune the model using reinforcement learning algorithms.

Absolutely. We offer human preference evaluations, scoring matrices, and structured review workflows to benchmark how well your fine-tuned LLM is performing and to identify areas of improvement.

Our multi-layered process includes expert prompt writing, human-in-the-loop validation, linguistic review, and quality checks to maintain clarity, balance, and ethical alignment across the dataset.

Yes, we follow safety guidelines and bias-mitigation practices to ensure the dataset promotes fair, responsible, and safe model behavior — especially for sensitive use cases.