Vaibhav Pachaulee

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Bounding Box

Classification

Data Collection

Emotion Recognition

Evaluation Rating

Land Cover Classification

Prompt Response Writing SFT

Red Teaming

RLHF

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

I am a climate science doctoral candidate with extensive experience in processing and analyzing large-scale observational datasets, including satellite, radar, weather station, and reanalysis data. My research has required precise data labeling and annotation to study cloud system evolution and atmospheric interactions, using tools such as Python for data manipulation and analysis. I have a strong background in climate data analysis, technical writing, and have contributed to published research and poster presentations at international conferences. My work has given me a keen eye for detail and data quality, making me well-suited for roles involving data annotation, training data preparation, and quality assurance in AI and scientific domains.

Labeling Experience

Bilingual (English/Hindi) AI Evaluator

Data Annotation TechTextEvaluation Rating

As a Bilingual (English/Hindi) AI Evaluator at DataAnnotation Tech, I evaluated AI model responses to Hindi prompts to ensure linguistic and cultural accuracy. I developed bilingual rubrics for consistent and objective assessments of the models. I was also responsible for reviewing potentially unsafe AI-generated conversations in Hindi for safety compliance. • Evaluated text-based AI responses in Hindi and English • Created and refined bilingual rubrics for model evaluation • Reviewed and rated AI-generated conversations for safety concerns • Focused on enhancing fairness and accuracy in multilingual AI systems

As a Bilingual (English/Hindi) AI Evaluator at DataAnnotation Tech, I evaluated AI model responses to Hindi prompts to ensure linguistic and cultural accuracy. I developed bilingual rubrics for consistent and objective assessments of the models. I was also responsible for reviewing potentially unsafe AI-generated conversations in Hindi for safety compliance. • Evaluated text-based AI responses in Hindi and English • Created and refined bilingual rubrics for model evaluation • Reviewed and rated AI-generated conversations for safety concerns • Focused on enhancing fairness and accuracy in multilingual AI systems

2025

Education

Work History