Human Layer for AI

Reliable humans. Structured workflows. AI-ready outcomes.

Labellerr provides a trusted human layer for AI, helping you collect, verify, label, and align data at scale — with speed, accuracy, and built-in quality control.

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spare it
adobe
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
spare it
adobe
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
spare it
adobe
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
spare it
adobe
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland
university of maryland

What We Do

We power AI systems with high-quality human intelligence, embedded directly into your data and model workflows.

From robotics to computer vision, from document trust to LLM alignment - we handle the human work so your AI can perform in the real world.

Our Core Services

Egocentric Data Collection for Robotics

Teach robots by learning from humans.
What we support:
  • First-person (wearable / POV) video capture
  • Human-object interaction data
  • Task-based demonstrations (fine motor & complex actions)
  • Multi-environment and real-world scenarios
Used for:
  • Robot imitation learning
  • Vision-Language-Action models
  • Embodied AI & autonomy training
  • ✔ Custom protocols
  • ✔ Scalable data capture
  • ✔ ML-ready structured outputs

Computer Vision Data Labeling

High-accuracy labels, built for production AI.
What we support:
  • Bounding boxes, polygons, masks
  • Keypoints, pose, and landmarks
  • Video and frame-level annotations
  • Quality review & consensus workflows
Used for:
  • Human-in-the-loop validation
  • Built-in QA layers
  • Consistent labeling across large datasets
  • ✔ Faster turnaround
  • ✔ Higher label accuracy
  • ✔ Enterprise-grade workflows

Document Verification & Data Validation

Trust your data before your AI trusts it.
What we support:
  • Identity and KYC documents
  • Business and compliance documents
  • Data accuracy and consistency
  • Edge cases AI cannot reliably detect
Used for:
  • Fintech & onboarding flows
  • Compliance automation
  • Fraud detection pipelines
  • ✔Secure handling
  • ✔ Trained human reviewers
  • ✔ Audit-ready verification

LLM Alignment & Human Feedback Tasks

Align models with real human judgment.
What we support:
  • Response ranking & preference labeling
  • Instruction following evaluation
  • Safety, bias, and hallucination checks
  • Prompt-response validation
Used for:
  • RLHF & post-training alignment
  • Model benchmarking
  • Enterprise LLM tuning
  • ✔ Scalable human feedback
  • ✔ Clear guidelines & scoring
  • ✔ High inter-annotator agreement

Why Labellerr

Built for AI teams, not just tasks.

  • AI-assisted workflows + human review
  • Scalable global workforce
  • Custom task design & schemas
  • Secure, compliant operations
  • Production-ready outputs
We provide a reliable human layer your AI can depend on.

How It Works

Simple. Scalable. Reliable.
Step 1
Define your task & quality bar
Step 2
We design the human workflow
Step 3
AI + human execution with QA
Step 4
Delivery in ML-ready formats

Let’s Build Better AI Together

Whether you’re training robots, improving vision models, verifying critical data, or aligning LLMs
Labellerr is your human layer for AI.

Book a demo