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I’m Chaitanya More, an AI Data Quality & Evaluation Specialist based in Pune, India. I focus on validating AI outputs, applying guideline-based QA, and supporting research workflows to ensure data reliability and reproducibility. I’ve processed 1,200+ structured articles with 97%+ accuracy, worked with RaterHub-style evaluation workflows for relevance and quality, and leveraged prompt evaluation, data validation, and workflow automation (n8n, APIs, webhooks) to improve data quality, consistency, and efficiency in AI-driven environments.…I’m Chaitanya More, an AI Data Quality & Evaluation Specialist based in Pune, India. I focus on validating AI outputs, applying guideline-based QA, and supporting research workflows to ensure data reliability and reproducibility. I’ve processed 1,200+ structured articles with 97%+ accuracy, worked with RaterHub-style evaluation workflows for relevance and quality, and leveraged prompt evaluation, data validation, and workflow automation (n8n, APIs, webhooks) to improve data quality, consistency, and efficiency in AI-driven environments.

Chaitanya More

Content Creator, Content Designer, AI Prompt Engineer, +7

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I’m Chaitanya More, an AI Data Quality & Evaluation Specialist based in Pune, India. I focus on validating AI outputs, applying guideline-based QA, and supporting research workflows to ensure data reliability and reproducibility. I’ve processed 1,200+ structured articles with 97%+ accuracy, worked with RaterHub-style evaluation workflows for relevance and quality, and leveraged prompt evaluation, data validation, and workflow automation (n8n, APIs, webhooks) to improve data quality, consistency, and efficiency in AI-driven environments.…I’m Chaitanya More, an AI Data Quality & Evaluation Specialist based in Pune, India. I focus on validating AI outputs, applying guideline-based QA, and supporting research workflows to ensure data reliability and reproducibility. I’ve processed 1,200+ structured articles with 97%+ accuracy, worked with RaterHub-style evaluation workflows for relevance and quality, and leveraged prompt evaluation, data validation, and workflow automation (n8n, APIs, webhooks) to improve data quality, consistency, and efficiency in AI-driven environments.

Available to hire

I’m Chaitanya More, an AI Data Quality & Evaluation Specialist based in Pune, India. I focus on validating AI outputs, applying guideline-based QA, and supporting research workflows to ensure data reliability and reproducibility.

I’ve processed 1,200+ structured articles with 97%+ accuracy, worked with RaterHub-style evaluation workflows for relevance and quality, and leveraged prompt evaluation, data validation, and workflow automation (n8n, APIs, webhooks) to improve data quality, consistency, and efficiency in AI-driven environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Markup Editor at CJK KnowledgeWork Global (Pvt. Ltd.)

October 1, 2023 - January 1, 2025

Processed and quality-checked 1200+ research articles with accuracy above 97%, using AI tools (ChatGPT, Copilot, Bing AI) and validation systems to resolve editorial tasks. Applied structured reasoning to reduce errors and improve content clarity. Managed workflow tracking, proofreading, QC review, and reporting. Supported onboarding/testing of new workflows to improve stability and reduce rework.

Markup Editor at CJK KnowledgeWork Global (Pvt. Ltd.), India

October 1, 2023 - January 1, 2025

Processed and validated 1,200+ research articles with 97%+ accuracy, ensuring high data integrity. Evaluated AI-generated outputs against guidelines for accuracy, formatting, and relevance. Performed tasks aligned with RaterHub-style evaluation workflows, including relevance assessment and quality rating. Identified and corrected markup errors, formatting inconsistencies, and structural issues. Applied AI-assisted validation workflows to improve efficiency and output consistency. Followed complex editorial and data guidelines with strict compliance. Reduced rework and improved workflow efficiency through systematic QA processes. Ensured consistency and quality across high-volume, repetitive data processing tasks. Collaborated with team members to maintain consistent quality standards.

AI & Automation Support (Self-Projects) at Self-Projects

January 1, 2025 - Present

Improved workflow efficiency by automating repetitive QA and data processes using n8n and APIs. Built automation workflows integrating APIs and webhooks for task execution. Automated repetitive data and content tasks to improve efficiency and consistency. Designed JSON-based data routing and validation workflows. Refined prompts to improve AI output quality and reliability. Conducted structured research and source comparison to verify data accuracy and resolve inconsistencies.