Archit Kumar Awasthi

Key Skills

Software

Data Annotation Tech

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

RLHF

Evaluation Rating

Freelancer Overview

I have hands-on experience as an AI Trainer, where I contributed to training various AI models by performing data annotation and ensuring high-quality labeled data for machine learning projects. My background in mathematics and computer science, combined with my proficiency in Python, C++, and Java, enables me to understand complex data patterns and maintain accuracy in labeling tasks. I am certified in AI application development and have completed training on generative AI platforms. My experience includes remote work, collaborating with teams to enhance AI model performance, and applying analytical thinking to support AI development. I am passionate about leveraging my technical skills and attention to detail to improve AI systems through precise data annotation and validation.

Labeling Experience

LLM Response Evaluation & Text Classification for AI Model Training

Data Annotation TechTextClassificationRLHF

The project included evaluating AI-generated responses for relevance, factual accuracy, coherence, safety, and instruction-following quality. Performed pairwise comparison tasks to rank model outputs and provided detailed reasoning to support evaluation decisions as part of RLHF (Reinforcement Learning from Human Feedback) workflows. Additionally, completed large-scale text classification tasks including sentiment analysis, topic categorization, and intent labeling across diverse datasets. Ensured strict adherence to annotation guidelines and maintained consistency across thousands of data points.

The project included evaluating AI-generated responses for relevance, factual accuracy, coherence, safety, and instruction-following quality. Performed pairwise comparison tasks to rank model outputs and provided detailed reasoning to support evaluation decisions as part of RLHF (Reinforcement Learning from Human Feedback) workflows. Additionally, completed large-scale text classification tasks including sentiment analysis, topic categorization, and intent labeling across diverse datasets. Ensured strict adherence to annotation guidelines and maintained consistency across thousands of data points.

2024 - 2025

Education

Work History