RLHF Infrastructure · Now Available

Your AI models are only as good as your preference data

PreferenceML is the end-to-end platform for collecting, quality-scoring, and exporting human preference annotations for LLM training.

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5×
Faster annotation
6
Quality dimensions
4
Export formats
∞
Annotators
preferenceml.app/annotate
Response A
Preferred · Selected
Transformers rely on a self-attention mechanism that computes pairwise relationships between all tokens. Given X ∈ R^(n×d), we project into Q=XW_Q, K=XW_K, V=XW_V. Attention = Softmax(QKᵀ/√d)V...
Response B
Not selected
A transformer reads all words at once and figures out which are related using "attention." So if you say "bank by the river" it knows bank means riverbank, not a financial institution...
✓ Submit & Next
⇔ Tie
12 / 50 annotated · 3 annotators active
The Problem

RLHF data collection is broken

Every AI team building reward models faces the same painful reality: collecting high-quality preference data at scale is expensive, slow, and produces inconsistent results.

What We Built

Everything your team needs to collect better data

A complete annotation workspace — not a feature, a platform.

01
Annotation Workspace
Side-by-side response comparison with keyboard shortcuts, multi-dimension quality sliders, and annotator notes. Built for speed.
A/B comparehotkeys6 dimensions
02
Multi-Annotator Management
Unlimited annotators, live inter-annotator agreement scoring via Cohen's Kappa, automatic conflict detection and flagging.
Cohen's κconflict queueagreement matrix
03
Admin & Batch Management
Upload JSON batches, paste prompts directly, or let Claude AI generate new prompt batches by topic and difficulty on demand.
JSON importAI generationbulk edit
04
Training-Ready Export
One-click export to RLHF pairs, DPO format, comparison dataset, or raw JSON. Plug directly into your training pipeline.
RLHFDPOHuggingFace-ready
05
Quality Scoring
Per-annotator quality scores, position bias detection, lazy annotator flags, and AI-powered quality analysis reports.
bias detectionquality scoreAI audit
06
AI-Assisted Annotation
Claude analyzes both responses and provides an objective recommendation to help annotators make faster, more consistent decisions.
Claude AIanalysisrecommendations
Workflow

From raw prompts to clean training data

1
Load Prompts
Upload a JSON batch, paste prompts manually, or generate them with AI by topic and difficulty.
2
Annotate
Reviewers compare responses side-by-side, rate quality dimensions, and add reasoning notes.
3
Quality Check
The platform automatically detects bias, flags poor annotations, and scores inter-annotator agreement.
4
Export & Train
Download your dataset in RLHF or DPO format, ready to plug into your reward model training run.
Built for every team training language models
AI Research Labs
Alignment & Safety Teams
"We needed a structured way to collect preference data across our alignment research — PreferenceML gave us audit trails, agreement metrics, and clean exports in one tool."
Enterprise AI Teams
Fine-tuning Internal LLMs
"Domain experts could annotate in minutes without any ML background. The AI assist feature helped non-technical reviewers make consistent quality judgments."
Data Labeling Vendors
Annotation Operations
"The quality scoring and bias detection caught annotators we would have missed otherwise. Our data quality jumped immediately after we started using it."
Pricing

Simple, transparent pricing

Start free. Scale as you grow. Enterprise licenses available for acquisition or white-labeling.

Starter
Free
Single user, browser-based
  • Full annotation workspace
  • Up to 3 annotators
  • All 4 export formats
  • Quality scoring
  • AI assist (your API key)
Team
$899
per month · up to 20 annotators
  • Everything in Starter
  • Cloud sync & persistence
  • Unlimited annotators
  • Priority AI generation
  • Dedicated support
Enterprise / Acquisition
Custom
white-label · source code · acquisition
  • Full source code license
  • White-label rights
  • Custom integrations
  • On-prem deployment
  • Acquisition available

Ready to build better AI?

Download the free tool and start collecting preference data today. No sign-up required.

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