For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
A
Anudhairya Chaudhary

Anudhairya Chaudhary

Self-Directed AI Training & Annotation Practice

India flagDehradun, India
$7.00/hrEntry LevelAppenClickworkerScale AI

Key Skills

Software

AppenAppen
ClickworkerClickworker
Scale AIScale AI

Top Subject Matter

AI model response evaluation and annotation

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification
Object DetectionObject Detection
Text GenerationText Generation
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

Self-driven AI evaluation and data annotation practitioner with hands-on experience in analyzing AI-generated outputs, identifying logical flaws, and improving response quality through structured feedback. Experienced in comparing multiple model responses, detecting inconsistencies, and selecting optimal outputs based on accuracy, relevance, and reasoning quality. Skilled in dataset labeling, validation, and handling edge cases across text and code-based tasks. Currently pursuing a Bachelor’s degree in Computer Science Engineering, with practical exposure to building and evaluating machine learning systems, including a model comparison pipeline and real-world debugging across Python, C++, Java, and C

Entry LevelEnglishHindi

Labeling Experience

Self-Directed AI Training & Annotation Practice

Text
I evaluated AI-generated responses for correctness, quality, and relevance across diverse domains. This involved structured annotation tasks, consistency checks, and selection of optimal outputs. I improved output reliability and identified errors for model refinement. • Reviewed and rated textual outputs generated by AI models • Performed dataset labeling and structured annotation • Compared multiple AI responses to select the highest-quality output • Provided feedback to guide model improvements

I evaluated AI-generated responses for correctness, quality, and relevance across diverse domains. This involved structured annotation tasks, consistency checks, and selection of optimal outputs. I improved output reliability and identified errors for model refinement. • Reviewed and rated textual outputs generated by AI models • Performed dataset labeling and structured annotation • Compared multiple AI responses to select the highest-quality output • Provided feedback to guide model improvements

Present

Education

U

University of Petroleum and Energy Studies

Bachelor of Engineering, Computer Science

Bachelor of Engineering
2021

Work History

S

Self-Directed

AI Evaluation & ML Project Contributor

Dehradun
2025 - 2026