Ian

Key Skills

Software

Telus

Top Subject Matter

Computer Vision / Image-Video Annotation

Computer Vision / Video-Image Annotation

Speech / Language Identification

Top Data Types

Image

Video

Audio

Top Task Types

Classification

Segmentation

Freelancer Overview

Image and video annotator – Rws International. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Telus. Education includes Bachelor of Commerce, The Technical University of Kenya (2012). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Classification and Segmentation.

Labeling Experience

Image and video annotator – Rws International

ImageClassification

Worked as an Image and video annotator for Rws International, supporting dataset creation for AI systems. The role involved assigning labels to visual items to improve model performance and usability. This work contributed to training and validating computer vision outputs for downstream applications. • Labeled images to support AI model training • Assisted with quality checks of annotations • Followed labeling guidelines and consistency standards • Coordinated deliverables within project timelines

2020 - 2026

Video and Image annotation – Telus International

TelusVideoSegmentation

Performed video and image annotation work at Telus International as part of AI data labeling efforts. The responsibilities included reviewing media content and applying structured labels according to project instructions. This role helped generate labeled data used to train and evaluate AI systems. • Annotated video and image data per guidelines • Completed labeling and formatting for task submissions • Maintained consistency across annotation batches • Supported project quality and turnaround requirements

2017 - 2024

Swahili Language Identification Project – Telus International

TelusAudioSegmentation

Participated in the Swahili Language Identification Project at Telus International by listening to audio and identifying language content. The task required segmenting Swahili language speech within audio recordings. This labeling supported AI capabilities for language detection and transcription-related workflows. • Listened to audio to detect Swahili speech segments • Segmented and marked language occurrences within recordings • Followed segmentation and identification criteria • Submitted labeled outputs for project processing

2022 - 2022

Categorization Project for Swahili Language – Telus International

TelusAudioSegmentation

Worked on a Categorization Project for Swahili Language at Telus International. The activity involved listening to audio and identifying and segmenting Swahili language speech. Labeled segments helped create training data for language recognition models. • Reviewed audio recordings for Swahili speech • Identified and segmented language spans • Applied project labeling guidelines consistently • Delivered categorized audio labels within deadlines

2018 - 2018

Education

Work History