Dominion G.

Key Skills

Software

Google Cloud Vertex AI

Playment

OpenCV AI Kit (OAK)

Top Subject Matter

Data Annotation & AI Training

Customer Service and Support

Data Entry & Administrative Tasks

Top Data Types

Video

Audio

Computer Code Programming

Top Task Types

Text Summarization

RLHF

Transcription

Data Collection

Freelancer Overview

I have over two years of experience working on data labeling and AI training data projects, supporting the development of machine learning models across natural language processing and computer vision tasks. My work has included annotating text, images, and audio datasets, creating detailed labeling guidelines, performing quality assurance reviews, and collaborating with project teams to improve annotation consistency. One project I’m particularly proud of involved helping prepare a large customer support chat bot dataset, where I reviewed thousands of conversations, identified intent categories, and improved labeling accuracy through feedback and process refinements. What sets me apart is my close attention to detail, ability to maintain high accuracy under tight deadlines, and strong understanding of how training data impacts model performance. I am comfortable working with annotation platforms, following complex guidelines, and adapting quickly to new project requirements. In addition to hands on labeling experience. I have developed strong analytical and communication skills that help me identify data quality issues, provide constructive feedback, and contribute to the successful delivery of AI training datasets.

Labeling Experience

AI Training Data Specialist | Nova Intelligence Solutions

Computer Code ProgrammingComputer Programming/Coding

Worked on multiple AI training data projects focused on improving the performance of large language models and customer support automation systems. Responsibilities included annotating and classifying text data, evaluating AI-generated responses for accuracy and relevance, identifying harmful or misleading content, and creating high-quality training datasets for model fine-tuning. Collaborated with quality assurance teams to maintain annotation standards above 98% accuracy and provided feedback that helped improve labeling guidelines and workflow efficiency.

2023 - 2025

Education

Work History