Harsh Yadav

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Video

Top Label Types

Text Generation

Translation Localization

Freelancer Overview

I am an AI Training & Data Labeling Specialist with strong experience in LLM evaluation, prompt engineering, content moderation, and multimodal data annotation. I work across text, audio, and video datasets, providing high-quality labels that improve AI model accuracy, safety, and multilingual reasoning. I am fluent in Hindi and English, which enables me to contribute to global AI projects requiring linguistic, cultural, and contextual understanding. I have hands-on experience with tools such as Labelbox, Appen, and Scale AI, completing tasks like text generation evaluation, safety rating, sentiment analysis, audio transcription, and video classification. My expertise includes identifying harmful content, reviewing policy compliance, improving response quality, reducing hallucinations, and stress-testing LLM outputs using structured evaluation guidelines. I bring a detail-oriented, reliable, and quality-driven approach to every project. I follow strict QA standards, maintain accuracy within required benchmarks, and provide consistent annotations that directly contribute to safer and more aligned AI systems.

Labeling Experience

AI Data Labeling & LLM Evaluation Project

LabelboxVideoText GenerationTranslation Localization

Worked on multilingual AI training tasks involving text, audio, and video data. Responsibilities included labeling, classifying, and moderating content for safety, accuracy, and policy compliance. Performed LLM evaluation, prompt testing, and quality rating in both Hindi and English. Ensured high-quality annotations with strict adherence to project guidelines and QA standards. Contributed to improving AI model performance, reducing hallucinations, and refining safety alignment through consistent, accurate annotations.

Worked on multilingual AI training tasks involving text, audio, and video data. Responsibilities included labeling, classifying, and moderating content for safety, accuracy, and policy compliance. Performed LLM evaluation, prompt testing, and quality rating in both Hindi and English. Ensured high-quality annotations with strict adherence to project guidelines and QA standards. Contributed to improving AI model performance, reducing hallucinations, and refining safety alignment through consistent, accurate annotations.

2025

Education

Work History