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Jay Dev Jha

Jay Dev Jha

AI Data Annotator – Web Automation & Document Intelligence

India flagSurat, India
$55.00/hrExpertData Annotation TechInternal Proprietary Tooling

Key Skills

Software

Data Annotation TechData Annotation Tech
Internal/Proprietary Tooling

Top Subject Matter

Technology – Web Automation & AI Systems
Finance – Financial Reports & Compliance (10-K, 10-Q)
E-commerce / Web Platforms – UI Interaction & Navigation

Top Data Types

ImageImage
DocumentDocument
TextText

Top Task Types

Bounding Box
Classification
Data Collection

Freelancer Overview

have hands-on experience working with AI/ML systems, particularly in building and improving intelligent data pipelines and training workflows. In my current role as a Software Development Engineer, I have implemented AI features such as Retrieval-Augmented Generation (RAG) and multivector retrieval systems, where I worked on structuring, processing, and optimizing large datasets to improve model accuracy and relevance. I have also applied prompt engineering techniques to refine LLM outputs, which closely aligns with AI training data evaluation, annotation quality improvement, and iterative feedback loops. Additionally, through my open-source contributions with RISC-V International and my Outreachy internship in the OCaml community, I have developed strong skills in data validation, parsing, and quality assurance. I built and validated parsers, wrote unit tests, reviewed contributions, and ensured correctness and consistency of structured data—skills directly transferable to data labeling and annotation tasks. My experience with Python, data processing, and analytical problem-solving enables me to understand edge cases, maintain high-quality datasets, and contribute effectively to AI training and evaluation workflows.

ExpertEnglishHindi

Labeling Experience

Software Engineer

ImageBounding Box
Worked on an image-based data labeling project focused on enabling automated navigation to financial reports (10-K and 10-Q filings). The task involved annotating web interface screenshots using bounding boxes to identify and label clickable UI elements such as buttons, links, and navigation components starting from the homepage URL. These annotations were used to train models to accurately detect and interact with relevant elements required to navigate to target financial documents. The project required high precision in defining bounding boxes around actionable elements, ensuring consistency across different layouts and websites within the FinTech domain. I performed validation checks, handled edge cases such as dynamic content and varying page structures, and maintained annotation quality standards. The labeled data supported downstream automation systems for reliable click-based navigation and document retrieval workflows.

Worked on an image-based data labeling project focused on enabling automated navigation to financial reports (10-K and 10-Q filings). The task involved annotating web interface screenshots using bounding boxes to identify and label clickable UI elements such as buttons, links, and navigation components starting from the homepage URL. These annotations were used to train models to accurately detect and interact with relevant elements required to navigate to target financial documents. The project required high precision in defining bounding boxes around actionable elements, ensuring consistency across different layouts and websites within the FinTech domain. I performed validation checks, handled edge cases such as dynamic content and varying page structures, and maintained annotation quality standards. The labeled data supported downstream automation systems for reliable click-based navigation and document retrieval workflows.

2025 - Present

Education

I

Indian Institute of Information Technology Manipur

Bachelor of Technology (B.Tech), Computer Science and Engineering

Bachelor of Technology (B.Tech)
2018 - 2022

Work History

V

Vassar Digital

Software Development Engineer

Hyderabad
2021 - Present
R

RISC_V Interantional

Software Engineer - Open Source

Zurich
2024 - 2024