Ogutu Okado

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Polygon

Point Key Point

Freelancer Overview

I am a detail-oriented AI Data Specialist with hands-on experience in data annotation, labeling, and quality assurance for machine learning projects. I have worked extensively on annotating and reviewing text and audio datasets for training large language models and speech recognition systems, following complex guidelines to ensure high accuracy and consistency. My background includes data collection for speech and ASR systems, where I ensured clear pronunciation and met technical specifications for high-quality audio. I am skilled in identifying errors, providing feedback to improve annotation instructions, and meeting strict productivity and quality benchmarks in remote, deadline-driven environments. My technical foundation in data science, along with experience in Python, SQL, and data preprocessing, enables me to contribute effectively to multilingual and text-based AI projects. I am comfortable handling confidential data and thrive in collaborative remote settings.

Labeling Experience

Data specialist

Data Annotation TechComputer Code ProgrammingPolygonPoint Key Point

In my data annotation experience, I have worked on medium to large-scale AI training projects involving text, image, and conversational datasets. The scope of these projects included preparing high-quality labeled data for machine learning models in areas such as natural language processing (NLP), computer vision, and AI safety evaluation. The datasets ranged from several thousand to hundreds of thousands of data points, depending on the project phase and client requirements. My specific data labeling tasks included: Text annotation (intent classification, sentiment analysis, entity recognition, toxicity labeling) Conversational AI evaluation (rating model responses for relevance, safety, coherence, and factual accuracy) Image annotation (bounding boxes, object tagging, segmentation) Data categorization and content moderation tagging Error identification and edge case documentation Writing and refining annotation guidelines for consistency

In my data annotation experience, I have worked on medium to large-scale AI training projects involving text, image, and conversational datasets. The scope of these projects included preparing high-quality labeled data for machine learning models in areas such as natural language processing (NLP), computer vision, and AI safety evaluation. The datasets ranged from several thousand to hundreds of thousands of data points, depending on the project phase and client requirements. My specific data labeling tasks included: Text annotation (intent classification, sentiment analysis, entity recognition, toxicity labeling) Conversational AI evaluation (rating model responses for relevance, safety, coherence, and factual accuracy) Image annotation (bounding boxes, object tagging, segmentation) Data categorization and content moderation tagging Error identification and edge case documentation Writing and refining annotation guidelines for consistency

2023 - 2025

Education

Work History