Prince Jay

Key Skills

Software

Data Annotation Tech

Labelbox

Label Studio

Mercor

Mindrift

SuperAnnotate

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Text Summarization

Freelancer Overview

I have hands-on experience in data labeling and AI training data development, contributing to projects that required high precision and consistency across diverse data types, including text, image, and audio. My work has involved annotating large datasets for machine learning models, ensuring data accuracy, relevancy, and alignment with project guidelines. I am skilled in using common labeling tools and platforms, maintaining quality assurance standards, and adapting to evolving annotation schemas. What sets me apart is my analytical attention to detail, ability to identify edge cases, and understanding of how well-structured data directly impacts AI performance. I have collaborated in cross-functional teams to refine labeling workflows and improve data efficiency, demonstrating strong communication, problem-solving, and quality control abilities that help optimize model training outcomes.

Labeling Experience

Programming and Code Understanding

Data Annotation TechComputer Code ProgrammingEntity Ner ClassificationClassification

Programming and Code Understanding: Labeled and curated datasets containing code snippets in programming languages such as Python, Java, and JavaScript, drawn from open-source repositories and developer forums (e.g., GitHub, Stack Overflow, and CodeNet). The data was used to train and fine-tune AI models for code completion, debugging assistance, code summarization, and language translation tasks. My responsibilities included tagging function definitions, identifying syntax and logical errors, classifying code types (algorithms, data structures, APIs), and ensuring metadata accuracy. This work supported the development of AI coding assistants and code intelligence systems by providing clean, well-structured, and contextually rich training data.

Programming and Code Understanding: Labeled and curated datasets containing code snippets in programming languages such as Python, Java, and JavaScript, drawn from open-source repositories and developer forums (e.g., GitHub, Stack Overflow, and CodeNet). The data was used to train and fine-tune AI models for code completion, debugging assistance, code summarization, and language translation tasks. My responsibilities included tagging function definitions, identifying syntax and logical errors, classifying code types (algorithms, data structures, APIs), and ensuring metadata accuracy. This work supported the development of AI coding assistants and code intelligence systems by providing clean, well-structured, and contextually rich training data.

2018 - 2023

Education

Work History