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Ritesh Verma

Ritesh Verma

AI Trainer | Data Annotation Specialist | NLP & LLM Evaluation

India flagRemote, India
$7.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

AI Data Annotation & LLM Evaluation
Sentiment Analysis, NLP & Text Classification
E-commerce Analytics & Customer Behavior Insights

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming
ImageImage

Top Task Types

Classification
Computer Programming Coding
Data Collection
Prompt Response Writing SFT

Freelancer Overview

AI Trainer and Data Annotation Specialist with hands-on experience in sentiment analysis, text classification, and data labeling workflows. Skilled in evaluating AI-generated responses, identifying errors, and improving output quality using structured guidelines. Experienced with Python, pandas, and NLP techniques for analyzing text data and extracting insights. Strong attention to detail, consistency, and ability to follow complex instructions—ensuring high-quality annotations and reliable model training support. Interested in LLM evaluation, prompt-response writing, and data annotation tasks across text and code domains.

Entry LevelEnglishHindi

Labeling Experience

Data Science & Analytics Intern – Sentiment Analysis Task

OtherTextClassification
Performed sentiment analysis on student event feedback using Python-based libraries. Analyzed text data to extract emotional tone and actionable insights. Generated summary reports to inform event improvement strategies. • Used TextBlob and VADER to process and label feedback text data. • Applied pandas and seaborn to visualize sentiment distributions. • Developed labeling workflows for consistent sentiment categorization. • Documented methodology and results as part of a professional data science portfolio.

Performed sentiment analysis on student event feedback using Python-based libraries. Analyzed text data to extract emotional tone and actionable insights. Generated summary reports to inform event improvement strategies. • Used TextBlob and VADER to process and label feedback text data. • Applied pandas and seaborn to visualize sentiment distributions. • Developed labeling workflows for consistent sentiment categorization. • Documented methodology and results as part of a professional data science portfolio.

2025 - 2025

Education

Q

Quantum University, Roorkee

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2023

Work History

I

Internshala

Campus Ambassador

Remote
2025 - 2025
K

Kaggle

Data Science Participant

Remote
2025 - 2025