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J

Jigar Chavda

AI Training & Evaluation Contributor

India flagJam-Khambhaliya, India
$15.00/hrIntermediateRemotasks

Key Skills

Software

RemotasksRemotasks

Top Subject Matter

Conversational AI
LLM Adversarial Testing
Dialogue Systems

Top Data Types

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Top Task Types

Transcription
Evaluation Rating

Freelancer Overview

AI Training & Evaluation Contributor. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Computer Applications, GSHSEB (2025) and Higher Secondary Education, GSHSEB (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

IntermediateEnglishHindi

Labeling Experience

AI Training & Evaluation Contributor

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I designed and evaluated multi-turn conversational scenarios to test LLM performance using structured guidelines and rubrics. Responsibilities included simulating diverse user personas, crafting adversarial dialogues, and stress-testing language models for weaknesses in reasoning and emotional intelligence. I performed structured annotation, failure mode detection, and documented detailed evaluation results for team review. • Simulated emotional escalation, contradiction, and goal-driven behavior across rich persona types • Applied prompt engineering techniques to refine model outputs and robustness • Evaluated model responses for instruction adherence, context retention, and logical consistency • Conducted structured QA and annotation following set rubrics and evolving requirements.

I designed and evaluated multi-turn conversational scenarios to test LLM performance using structured guidelines and rubrics. Responsibilities included simulating diverse user personas, crafting adversarial dialogues, and stress-testing language models for weaknesses in reasoning and emotional intelligence. I performed structured annotation, failure mode detection, and documented detailed evaluation results for team review. • Simulated emotional escalation, contradiction, and goal-driven behavior across rich persona types • Applied prompt engineering techniques to refine model outputs and robustness • Evaluated model responses for instruction adherence, context retention, and logical consistency • Conducted structured QA and annotation following set rubrics and evolving requirements.

2024 - Present

Education

G

GSHSEB

Bachelor of Computer Applications, Computer Applications

Bachelor of Computer Applications
2022 - 2025
G

GSHSEB

Higher Secondary Education, Computer application

Higher Secondary Education
2021 - 2022

Work History

I

Infolabs

Full Stack Developer

Jam-Khambhaliya
2024 - 2025