Researching the undefined

Turning Ambiguity
into Intelligence

RLHF and High Quality data pipelines for AI systems that need to perform in the real world not just look good in benchmarks.

OpenAI
Anthropic
Google Gemini
Meta AI
Apple Intelligence
Hugging Face
xAI
OpenAI
Anthropic
Google Gemini
Meta AI
Apple Intelligence
Hugging Face
xAI
Proof of Concept

Post Training Data That Ships

Enterprise grade AI training data built from real production codebases, validated through multi-turn expert evaluation

Internal Quality Gate

Four gates. Every dataset. No exceptions.

Before any data leaves our pipeline it passes a rigorous internal review a final line of defense that catches what primary evaluation misses.

Blind Re-Review

A second expert reviews every evaluation independently, without seeing the first reviewer's scores, to eliminate individual bias.

Consistency Audit

Automated checks flag scoring outliers, incomplete rubric fields, and prompt-to-response misalignments before anything leaves the pipeline.

Senior Calibration

A senior technical lead samples batches for calibration, ensuring rubric interpretation stays uniform across all reviewers and domains.

Final Sign-Off

Only after passing all gates does the data enter the delivery artifact. Every record ships with a provenance trail linking back to the original PR.

Every record is double-reviewed, audited, and signed off before it reaches you.

Process

From Signal to Training-Ready

Four rigorous stages. Zero shortcuts.

Discover

We map your model's gaps, define target behaviors, and align on the exact signals your training pipeline needs.

Source

Real signals extracted from production repositories — real PRs, real review cycles, real engineering decisions.

Evaluate

Every data point passes blind re-review, consistency audit, and senior calibration before it leaves our pipeline.

Deliver

Clean, provenance-tracked datasets — formatted for your training stack and ready for immediate post-training use.

The quality of your training data is the quality of your model. Everything else is noise.

Ambiguity Labs
Partnership

Build Better Models, Together

We partner with AI labs, frontier model teams, and enterprises who believe training signal quality is the next competitive edge.

1

Access Expert-Curated Data

Tap into production-grade RLHF datasets and multi-turn evaluation pipelines built by domain experts.

2

Custom Data Programs

We design bespoke data collection and annotation programs tailored to your model’s specific training needs.

3

Flexible Engagement

From pilot projects to long-term data partnerships — we scale with your roadmap, not ahead of it.

Partner With Us

Schedule a 30-minute call to explore how we can work together.

Careers

Join the Team

We're building the data infrastructure behind the next generation of AI. If you care about quality over shortcuts, we want to hear from you.

RLHF Data Specialist

Full-time / Contract

Create and evaluate multi turn coding prompts, review model outputs, and produce expert level preference rankings for LLM post training.

AI Research Engineer

Full-time

Build data pipelines, design evaluation harnesses, and work on tooling that powers our RLHF workflows at scale.

Technical Content Reviewer

Contract / Part-time

Review and quality check AI training data across domains ensuring accuracy, consistency, and alignment with our internal rubrics.

Don't see your role? We're always looking for exceptional people.

Reach Out to Us
Contact

Let's Build Together

Ready to transform your business with AI? Book a call to get started.

hello@ambiguitylabs.in
Bangalore, India