Vinay Kumar

Key Skills

Software

Appen

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Document

Image

Text

Video

Top Label Types

Evaluation Rating

Entity Ner Classification

Segmentation

Text Generation

Object Detection

Action Recognition

Freelancer Overview

I am a detail-oriented English Prompt Reviewer and Content Writer with extensive experience in creating, evaluating, and refining high-quality prompts for AI training and language-model evaluation. My background includes producing over 2,000 precise prompts, conducting thorough audits to ensure clarity, relevance, and consistency, and developing internal guidelines that improved audit efficiency by 35%. I am adept at prompt writing, content editing, and quality assurance, with advanced skills in linguistic analysis and a strong command of English grammar and style. I am proficient with tools such as MS Office Suite, Google Workspace, prompt-evaluation platforms, Grammarly, and basic generative AI tools. My academic background in English Literature and certifications in AI prompt engineering and research writing further strengthen my ability to deliver accurate, well-annotated data for AI and NLP applications. I thrive in collaborative environments and am committed to maintaining the highest editorial and data quality standards.

Labeling Experience

Data Annotator

CVATVideoEntity Ner ClassificationSegmentation

It was video annotation project.

It was video annotation project.

2024 - 2025

Search Query Evaluator

AppenTextEvaluation Rating

As a Search Query Evaluator at Appen, I evaluated search query results for relevancy and accuracy to improve AI algorithms. My role required detailed analysis of user queries and AI-generated responses, facilitating enhanced natural language understanding. I contributed to optimizing machine learning models focused on processing Hindi and English text. • Reviewed and rated search results for quality and usefulness • Identified trends and patterns to inform AI model adjustments • Utilized proprietary evaluation tools and provided feedback for model tuning • Worked collaboratively within a global, diverse team

As a Search Query Evaluator at Appen, I evaluated search query results for relevancy and accuracy to improve AI algorithms. My role required detailed analysis of user queries and AI-generated responses, facilitating enhanced natural language understanding. I contributed to optimizing machine learning models focused on processing Hindi and English text. • Reviewed and rated search results for quality and usefulness • Identified trends and patterns to inform AI model adjustments • Utilized proprietary evaluation tools and provided feedback for model tuning • Worked collaboratively within a global, diverse team

2021 - 2023

Education

Work History