Kankana Nath

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Fine Tuning

Evaluation Rating

Computer Programming Coding

Prompt Response Writing SFT

Freelancer Overview

I am a full-stack engineer with 4 years of experience building scalable, data-driven web platforms and AI-powered interfaces, with a strong focus on frontend development using React, TypeScript, and modern UI frameworks. My background includes developing enterprise-scale systems and AI workflows, where I have collaborated closely with AI researchers and product teams to deliver interactive user interfaces that visualize real-time AI insights and support complex data annotation tasks. I have hands-on experience designing and integrating REST APIs, managing authentication and data flows, and optimizing performance for high-traffic applications. My work at Qubrid AI involved engineering robust chat interfaces and multi-agent orchestration tools for enterprise AI users, emphasizing data accuracy, real-time feedback, and user engagement. I am skilled in leveraging tools like Python, Node.js, MongoDB, and Firebase for backend development, and have implemented automated quality control measures to ensure data integrity in bioinformatics and other domains. My passion for building reliable, intuitive systems makes me well-suited for roles focused on data labeling, annotation, and AI training data management.

Labeling Experience

Freelance AI Data Trainer

LabelboxComputer Code ProgrammingFine TuningEvaluation Rating

As a Freelance AI Data Trainer, I was responsible for annotating and labeling large-scale datasets for language learning models and AI systems. I designed and applied structured rubrics to evaluate model outputs based on consistency with guidelines. Additionally, I created prompts to simulate user behavior and reviewed AI responses for accuracy and quality. • Labeled conversation quality, intent, safety, and relevance in real-world contexts. • Evaluated model outputs using qualitative rubrics for diverse domains. • Crafted and iterated prompts for realistic and complex user scenarios. • Validated and corrected AI-generated responses to improve model reliability.

As a Freelance AI Data Trainer, I was responsible for annotating and labeling large-scale datasets for language learning models and AI systems. I designed and applied structured rubrics to evaluate model outputs based on consistency with guidelines. Additionally, I created prompts to simulate user behavior and reviewed AI responses for accuracy and quality. • Labeled conversation quality, intent, safety, and relevance in real-world contexts. • Evaluated model outputs using qualitative rubrics for diverse domains. • Crafted and iterated prompts for realistic and complex user scenarios. • Validated and corrected AI-generated responses to improve model reliability.

2025

AI Code Transcript Review & Annotation

Computer Code ProgrammingComputer Programming Coding

Worked on AI training projects reviewing and annotating AI-generated code transcripts. The tasks involved validating generated code and explanations for languages such as JavaScript, TypeScript, and Python. I reviewed outputs for correctness, consistency, and adherence to project guidelines, flagged errors, corrected annotations, and ensured high-quality labeled datasets for model training.

Worked on AI training projects reviewing and annotating AI-generated code transcripts. The tasks involved validating generated code and explanations for languages such as JavaScript, TypeScript, and Python. I reviewed outputs for correctness, consistency, and adherence to project guidelines, flagged errors, corrected annotations, and ensured high-quality labeled datasets for model training.

2024 - Present

Education

Work History