Samuel Njoroge

Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

Dataturk

Labelbox

Lionbridge

Mindrift

OneForma

Remotasks

Scale AI

Internal/Proprietary Tooling

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Bounding Box

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

I am a highly skilled and reliable freelancer with over 3 years of experience specializing in translation, transcription, AI training, data annotation, and data labeling. I hold a Bachelor’s degree in Computer Science, Bachelors degree in Humanities and social sciences, and an ongoing diploma in Linguistic, giving me a strong foundation in both technical and language-based projects. Additionally, I have a certificate in translation, which reinforces my ability to handle professional language tasks with accuracy and cultural sensitivity. Throughout my freelance career, I have worked with various international clients and platforms like Telus.ai, Appen and Soul.ai, contributing to the development and training of AI models, translating official and federal documents, and transcribing audio files with precision. I am proficient with tools like Trados, Smartcat, and annotation platforms such as Labelbox and Supervisely. My work is known for being detail-oriented, timely, and of high quality. I am passionate about language, technology, and contributing to innovative projects. Whether it’s converting text between languages, cleaning datasets, or labeling complex data for machine learning, I approach every task with professionalism and commitment.

Labeling Experience

Image annotation.

TelusImageBounding BoxQuestion Answering

Project Description – Photo Annotation (TELUS International AI) I participated in a large-scale photo annotation project with TELUS International AI, involving the labeling of over 50,000 images used to train computer vision models for commercial applications such as autonomous vehicles, retail AI, and smart camera systems. Specific Data Labeling Tasks Performed: - Bounding Box Annotation: Outlined target objects (e.g., pedestrians, road signs, vehicles) using precise bounding boxes. - Polygon Annotation: Used detailed polygon segmentation for irregularly shaped items like clothing or tools. - Image Classification: Tagged images based on visual features (e.g., lighting, weather conditions, object categories). - Attribute Tagging: Labeled objects with additional attributes like color, condition, or brand. Quality Measures Adhered To: - Maintained over 98% accuracy rate across all tasks based on QA audits. - Followed strict labeling guidelines provided by the client and revised based

Project Description – Photo Annotation (TELUS International AI) I participated in a large-scale photo annotation project with TELUS International AI, involving the labeling of over 50,000 images used to train computer vision models for commercial applications such as autonomous vehicles, retail AI, and smart camera systems. Specific Data Labeling Tasks Performed: - Bounding Box Annotation: Outlined target objects (e.g., pedestrians, road signs, vehicles) using precise bounding boxes. - Polygon Annotation: Used detailed polygon segmentation for irregularly shaped items like clothing or tools. - Image Classification: Tagged images based on visual features (e.g., lighting, weather conditions, object categories). - Attribute Tagging: Labeled objects with additional attributes like color, condition, or brand. Quality Measures Adhered To: - Maintained over 98% accuracy rate across all tasks based on QA audits. - Followed strict labeling guidelines provided by the client and revised based

2024

Education

Work History