Kyle Daniel O.

Key Skills

Software

Appen

Toloka

Mindrift

Micro1

Top Subject Matter

Generalist and Logical reasoning

Quality Assessment and Sentiment Analysis

Data Research & Document Analysis

Top Data Types

Text

Document

Image

Top Task Types

Bounding Box

Classification

Segmentation

Object Detection

Text Generation

Fine-tuning

Transcription

Freelancer Overview

I have worked on AI training and data labeling across Micro1, Outlier, Mindrift, and Appen’s Crowdgen, handling text, image, and structured data annotation. My project coordination background ensures rigorous quality control similar to maintaining 100% project traceability with Bitrix24 and Zoho. I apply critical thinking and attention to detail to labeling guidelines, cross-validation, and prompt-response evaluation. What sets me apart is combining technical skills (network administration, Google Ads certification) with operational discipline (risk management, zero-incident construction supervision). I also hold a Google AI Professional Certificate. My data-driven approach, honed through improving lead conversion and engagement in marketing, directly supports high-accuracy AI model training.

Labeling Experience

Social Content Labeling Uolo v2

TextClassification

Labeled social media posts for sentiment (positive/negative/neutral), intent, and policy compliance. Supported algorithmic content moderation by accurately categorizing Uolo platform user-generated content. Strong analytical skills and consistency ensured reliable training data for NLP models.

2026 - Present

Image Quality Rater – Which Image Is Better

ImagePoint/Key Point

Compared pairs of generated images based on aesthetics, visual clarity, and prompt fidelity. Selected the better image per detailed guidelines, contributing to training data for image generation models. Attention to detail ensured consistent, high-agreement labeling across thousands of pairs.

2026 - Present

Education

Work History