RLHF & Human Feedback

The Human Intelligence
Layer Behind AI

SadiGroup provides the human feedback, preference data, and expert evaluation that makes AI models smarter, safer, and more aligned — at enterprise scale, across 150+ languages.

150+
Languages Covered
10K+
Trained Evaluators
98.7%
Accuracy Rate
9
RLHF Service Types

RLHF & Human Feedback Services

Nine specialized services that provide the human signal your AI models need to improve, align, and stay safe.

Prompt Evaluation

Expert human evaluators assess prompt quality, clarity, and effectiveness across diverse domains and languages to improve model instruction-following.

Response Ranking

Side-by-side comparison and ranking of model outputs by native-speaking domain experts, providing the preference signal that drives RLHF training.

Human Preference Collection

Structured collection of human preferences across response quality, tone, accuracy, and helpfulness — the core signal for aligning models to human values.

Safety Review

Systematic review of model outputs for harmful, biased, or unsafe content by trained safety reviewers across multiple languages and cultural contexts.

Hallucination Detection

Fact-checking and hallucination identification by subject-matter experts who verify model claims against reliable sources across specialized domains.

AI Alignment

Comprehensive alignment evaluation ensuring model outputs are helpful, harmless, and honest — with structured feedback loops that improve model behavior over time.

Model Benchmarking

Rigorous human evaluation benchmarks that measure model performance on real-world tasks, providing ground truth that automated metrics cannot capture.

LLM Evaluation

End-to-end evaluation of large language models across reasoning, knowledge, language understanding, and generation quality by multilingual expert evaluators.

Red Teaming

Adversarial testing by trained red teamers who probe model vulnerabilities, jailbreaks, and failure modes across languages, cultures, and sensitive domains.

Our RLHF Delivery Pipeline

A structured, quality-controlled process from task design to final delivery.

01

Task Design

Define evaluation criteria, rubrics, and guidelines aligned to your model's objectives and safety requirements.

02

Evaluator Selection

Match tasks to qualified native-speaking evaluators with relevant domain expertise and language proficiency.

03

Calibration

Run calibration sessions to align evaluators on quality standards before full-scale data collection begins.

04

Data Collection

Structured collection of human feedback, rankings, and annotations at scale with real-time quality monitoring.

05

QA & Validation

Multi-tier quality review including peer validation and specialist review to ensure feedback consistency.

06

Delivery

Structured delivery in your preferred format — JSON, CSV, or direct integration with your training pipeline.

Why SadiGroup for RLHF?

Multilingual Coverage

150+ languages with native-speaker evaluators for culturally accurate feedback.

10,000+ Evaluators

Verified specialists across domains — from general AI to medical, legal, and technical.

Enterprise Security

NDA-protected workflows, GDPR-aligned data handling, and strict access controls.

98.7% Accuracy

Multi-tier QA pipeline ensures consistent, high-quality human feedback at scale.

Ready to align your AI models?

Tell us about your RLHF requirements and we'll scope a tailored human feedback program.