Parth Pandya

Key Skills

Software

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Prompt Response Writing SFT

Classification

Freelancer Overview

I am a finance graduate with hands-on experience in AI data labeling, annotation, and prompt writing, particularly within the finance and banking sectors. My background includes labeling and annotating large-scale text datasets, applying strict quality guidelines, and reviewing AI-generated outputs for accuracy and relevance. I excel at creating realistic prompts and user queries for agentic AI systems, ensuring clarity and reducing ambiguity to enhance model training. My strong command of professional English, combined with my understanding of financial security and risk, allows me to translate complex concepts into clear, structured data. I am proficient with annotation platforms, AI evaluation dashboards, and remote collaboration tools, and I thrive in detail-oriented, guideline-driven environments.

Labeling Experience

AI Data Annotation and Text Evaluation – Project Hedgehog

Scale AITextClassification

Worked on Project Hedgehog performing text annotation and evaluation tasks to help improve the accuracy of large language models. Responsibilities included reviewing prompts, labeling text data, and evaluating AI-generated responses for relevance, clarity, and correctness. The project involved analyzing language patterns and categorizing responses according to project guidelines. I followed strict quality control standards to ensure consistency and accurate labeling across datasets. This work helped improve AI performance in understanding natural language and generating more reliable responses.

Worked on Project Hedgehog performing text annotation and evaluation tasks to help improve the accuracy of large language models. Responsibilities included reviewing prompts, labeling text data, and evaluating AI-generated responses for relevance, clarity, and correctness. The project involved analyzing language patterns and categorizing responses according to project guidelines. I followed strict quality control standards to ensure consistency and accurate labeling across datasets. This work helped improve AI performance in understanding natural language and generating more reliable responses.

2025

Prompt Writer – Finance & Banking Domain – Remote / Project-Based

OtherTextPrompt Response Writing SFT

As a Prompt Writer in the Finance & Banking Domain, I created structured and realistic prompts for AI systems. My responsibilities included refining prompts to improve reasoning, reduce ambiguity, and meet project quality standards. I designed user queries spanning complex financial scenarios and agentic AI workflows.• Generated high-quality prompts for banking, security, risks, and fraud • Developed multi-turn conversation flows for agentic assistants • Improved instruction clarity and response specificity through prompt refinement • Aligned prompt sets with project guidelines and use-case scenarios

As a Prompt Writer in the Finance & Banking Domain, I created structured and realistic prompts for AI systems. My responsibilities included refining prompts to improve reasoning, reduce ambiguity, and meet project quality standards. I designed user queries spanning complex financial scenarios and agentic AI workflows.• Generated high-quality prompts for banking, security, risks, and fraud • Developed multi-turn conversation flows for agentic assistants • Improved instruction clarity and response specificity through prompt refinement • Aligned prompt sets with project guidelines and use-case scenarios

2025 - 2025

AI Data Labeling & Annotation Specialist – Remote / Contract

OtherTextEvaluation Rating

As an AI Data Labeling & Annotation Specialist, I labeled and annotated large-scale text datasets for AI model training and evaluation. My work followed strict annotation guidelines ensuring high accuracy and quality acceptance. I identified edge cases, reviewed AI-generated outputs, and contributed to dataset reliability.• Labeled diverse financial and banking-related text examples for model improvement • Applied structured and detailed annotation criteria with rigor • Reviewed and rated factual, clarity, and domain relevance of model outputs • Flagged ambiguity, hallucinations, and edge cases to enhance dataset quality

As an AI Data Labeling & Annotation Specialist, I labeled and annotated large-scale text datasets for AI model training and evaluation. My work followed strict annotation guidelines ensuring high accuracy and quality acceptance. I identified edge cases, reviewed AI-generated outputs, and contributed to dataset reliability.• Labeled diverse financial and banking-related text examples for model improvement • Applied structured and detailed annotation criteria with rigor • Reviewed and rated factual, clarity, and domain relevance of model outputs • Flagged ambiguity, hallucinations, and edge cases to enhance dataset quality

2025 - 2025

Education

Work History