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Gaurav Kumar

Gaurav Kumar

AI Prompt Engineering & Response Evaluation Project

India flagbanka, India
$5.00/hrExpertAppenClickworkerCrowdsource

Key Skills

Software

AppenAppen
ClickworkerClickworker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
iMeritiMerit
Micro1
OneFormaOneForma
RemotasksRemotasks
TelusTelus
TolokaToloka
V7 LabsV7 Labs

Top Subject Matter

General Language/Large Language Models
NLP/Text Datasets
LLM/RLHF Evaluation

Top Data Types

TextText

Top Task Types

Text GenerationText Generation
ClassificationClassification

Freelancer Overview

AI Prompt Engineering & Response Evaluation Project. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Tilka Manjhi Bhagalpur University (2023). AI-training focus includes data types such as Text and labeling workflows including Text Generation, Classification, and Evaluation.

ExpertEnglishHindi

Labeling Experience

AI Training & RLHF Tasks (Work Simulation)

Text
I evaluated AI-generated responses for correctness, business tone, and professional standards. I performed rubric-based scoring, pairwise ranking, and executed RLHF tasks to align model outputs with human intent and quality. I created adversarial prompts and test cases to identify weaknesses and edge cases in LLM reasoning. • Assessed quality and bias of AI outputs with comprehensive evaluation. • Authored complex and challenging prompts for stress-testing models. • Delivered improvements and corrections based on evaluation findings. • Contributed to the optimization of model safety and alignment via RLHF.

I evaluated AI-generated responses for correctness, business tone, and professional standards. I performed rubric-based scoring, pairwise ranking, and executed RLHF tasks to align model outputs with human intent and quality. I created adversarial prompts and test cases to identify weaknesses and edge cases in LLM reasoning. • Assessed quality and bias of AI outputs with comprehensive evaluation. • Authored complex and challenging prompts for stress-testing models. • Delivered improvements and corrections based on evaluation findings. • Contributed to the optimization of model safety and alignment via RLHF.

2023 - Present

Data Annotation Project

TextClassification
I labeled and categorized text datasets based on provided annotation guidelines. I maintained high accuracy and consistency in labeling work, ensuring clean and usable datasets for downstream applications. My work enabled more reliable and effective machine learning models. • Followed specific annotation rules for data labeling tasks. • Ensured thorough categorization and classification of datasets. • Collaborated with team members for consistent annotation. • Used organizational tools to manage and track dataset progress.

I labeled and categorized text datasets based on provided annotation guidelines. I maintained high accuracy and consistency in labeling work, ensuring clean and usable datasets for downstream applications. My work enabled more reliable and effective machine learning models. • Followed specific annotation rules for data labeling tasks. • Ensured thorough categorization and classification of datasets. • Collaborated with team members for consistent annotation. • Used organizational tools to manage and track dataset progress.

2023 - Present

AI Prompt Engineering & Response Evaluation Project

TextText Generation
I designed, tested, and optimized AI prompts to enhance response quality and clarity. I evaluated and improved AI-generated text using prompt engineering techniques, maintaining consistency and high accuracy throughout. I worked extensively on large language model outputs as part of projects to optimize answers and reduce bias. • Created multiple variations of prompts for clarity and relevance. • Evaluated outputs and compared results to guideline standards. • Suggested comprehensive improvements for response quality. • Utilized prompt engineering strategies for enhanced performance.

I designed, tested, and optimized AI prompts to enhance response quality and clarity. I evaluated and improved AI-generated text using prompt engineering techniques, maintaining consistency and high accuracy throughout. I worked extensively on large language model outputs as part of projects to optimize answers and reduce bias. • Created multiple variations of prompts for clarity and relevance. • Evaluated outputs and compared results to guideline standards. • Suggested comprehensive improvements for response quality. • Utilized prompt engineering strategies for enhanced performance.

2023 - Present

Education

T

Tilka Manjhi Bhagalpur University

Bachelor of Science, Science and Mathematics

Bachelor of Science
2023 - 2023

Work History

I

Independent Practice

AI Training Contributor

Dhanbad
2024 - Present