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  3. AI Annotation & Evaluation Tools
ai
annotation
evaluation

AI Annotation & Evaluation Tools

Workflow tools for high-quality AI data annotation and LLM response evaluation.

Role: ML Engineer
Duration: 4 Months
Team: 4
Source Code
Published
Nov 2025
Primary category
ai

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Overview

Provides structured pipelines for data annotation and LLM evaluation to ensure high-quality datasets.

Core Capabilities

  • Multi-stage annotation workflows
  • Consensus-based evaluation
  • LLM-assisted quality checks

The Challenge

High-quality dataset creation for AI is slow and inconsistent.

The Solution

  • 1Consensus scoring
  • 2Multi-stage validation

Key Features

Annotation pipelines
Quality evaluation
Consensus scoring
Dashboard metrics

System Architecture

Pipeline-based modular backend, Python, PostgreSQL, API endpoints

Key Learnings

  • Annotation workflow optimization
  • LLM evaluation strategies

If I rebuilt this today

Future improvements: UI enhancements, automation, multi-language support

Challenges Overcome

  • Maintaining annotation consistency
  • Reducing bias
  • Scaling workflow

Links

Source, demo, and reference links.

Source Code

Technologies

Python

Project Work

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