Patrick Otieno

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Entity Ner Classification

Object Detection

Freelancer Overview

I am a detail oriented language professional with native level Swahili and fluent English proficiency, specializing in data labeling, annotation, and AI training data tasks. My experience includes evaluating and reviewing text-based content for clarity, accuracy, and adherence to detailed guidelines, as well as conducting research and data verification for academic and project-based assignments. I am skilled in using web-based annotation tools, Google Workspace, and online task platforms, and I bring a strong understanding of cultural and linguistic nuances in East African contexts. I am passionate about supporting the development of ethical, human-centered AI systems through high-quality, consistent, and culturally sensitive data work, and I thrive in remote, independent work environments where accuracy and reliability are essential.

Labeling Experience

AI Training Data Annotation Project (Text & Image Labeling)

CVATTextEntity Ner ClassificationObject Detection

Participated in an AI training data labeling project focused on preparing high quality datasets for machine learning and large language models. Performed text annotation tasks including classification, entity recognition (NER), prompt response evaluation, and quality rating based on detailed annotation guidelines. Conducted image annotation tasks such as object detection and bounding box labeling using CVAT and Labelbox tools. Ensured accuracy, consistency, and compliance with project standards through self-review and validation checks. Worked with medium to large datasets and adhered strictly to data privacy, quality control, and annotation accuracy requirements.

Participated in an AI training data labeling project focused on preparing high quality datasets for machine learning and large language models. Performed text annotation tasks including classification, entity recognition (NER), prompt response evaluation, and quality rating based on detailed annotation guidelines. Conducted image annotation tasks such as object detection and bounding box labeling using CVAT and Labelbox tools. Ensured accuracy, consistency, and compliance with project standards through self-review and validation checks. Worked with medium to large datasets and adhered strictly to data privacy, quality control, and annotation accuracy requirements.

2024 - 2025

Education

Work History