Jayesh Jadhav

Key Skills

Software

Remotasks

Other

Top Subject Matter

LLM Training

Text Generation

Code Generation

Top Data Types

Text

Top Task Types

Text Generation

Entity Ner Classification

Prompt Response Writing SFT

Freelancer Overview

Data Scientist (Freelancer, Data Annotation & AI Training). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

Labeling Experience

AI Data Generation Specialist (Freelancer)

RemotasksTextText GenerationPrompt Response Writing SFT

As a Data Scientist at Remotasks.com, I designed and validated structured data annotation trajectories for Large Language Model (LLM) training. My work focused on the creation and refinement of structured text and code for Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) pipelines. I ensured accuracy, consistency, and reproducibility in AI model data through robust annotation workflows. • Developed and refined annotation guidelines and quality processes for agentic AI systems. • Created and validated test cases to assess model-generated code and logic. • Simulated annotation task executions and verified data pipeline correctness with Python, SQL, and BigQuery. • Authored comprehensive documentation on workflow assumptions, terminal-based operation, and model evaluation steps.

As a Data Scientist at Remotasks.com, I designed and validated structured data annotation trajectories for Large Language Model (LLM) training. My work focused on the creation and refinement of structured text and code for Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) pipelines. I ensured accuracy, consistency, and reproducibility in AI model data through robust annotation workflows. • Developed and refined annotation guidelines and quality processes for agentic AI systems. • Created and validated test cases to assess model-generated code and logic. • Simulated annotation task executions and verified data pipeline correctness with Python, SQL, and BigQuery. • Authored comprehensive documentation on workflow assumptions, terminal-based operation, and model evaluation steps.

2023 - 2024

NLP Data Annotator/Model Developer

OtherTextEntity Ner Classification

I developed NLP-based models for feedback and sentiment analysis, handling text annotation, sequence labeling, and keyword mapping as primary responsibilities. My role included using SpaCy and NLTK for enriched data annotation, focusing on extracting and mapping keywords for business insights. I led the automation of labeling workflows for business feedback data. • Applied regular expressions and NLP techniques for entity classification tasks. • Used Docker and GitLab within CI/CD pipelines to streamline data annotation processes. • Created scripts for project log management and evaluation in BigQuery. • Explored semi-structured and unstructured data for expanded model capabilities.

I developed NLP-based models for feedback and sentiment analysis, handling text annotation, sequence labeling, and keyword mapping as primary responsibilities. My role included using SpaCy and NLTK for enriched data annotation, focusing on extracting and mapping keywords for business insights. I led the automation of labeling workflows for business feedback data. • Applied regular expressions and NLP techniques for entity classification tasks. • Used Docker and GitLab within CI/CD pipelines to streamline data annotation processes. • Created scripts for project log management and evaluation in BigQuery. • Explored semi-structured and unstructured data for expanded model capabilities.

2022 - 2023

NLP Data Labeler/Technical Support

OtherTextEntity Ner Classification

I analyzed data and constructed CSAT framework ML models using extracted keywords, enhancing automation and mapping capabilities in multiple business domains. My duties involved creating a comprehensive dictionary of over 10,000 keywords through web data extraction, supporting NLP-driven category mapping. Additionally, I engineered web scraping automation with BeautifulSoup for effective dataset construction. • Conducted data annotation and keyword tagging for NLP tasks. • Improved CSAT models by enriching input data via extensive web crawling. • Mapped keywords to categories for business solution deployment. • Supported data pipeline automation for market research initiatives.

I analyzed data and constructed CSAT framework ML models using extracted keywords, enhancing automation and mapping capabilities in multiple business domains. My duties involved creating a comprehensive dictionary of over 10,000 keywords through web data extraction, supporting NLP-driven category mapping. Additionally, I engineered web scraping automation with BeautifulSoup for effective dataset construction. • Conducted data annotation and keyword tagging for NLP tasks. • Improved CSAT models by enriching input data via extensive web crawling. • Mapped keywords to categories for business solution deployment. • Supported data pipeline automation for market research initiatives.

2021 - 2021

Education

Work History