Trevor K.

Key Skills

Software

Other

Labelbox

Scale AI

Appen

Dataloop

Top Subject Matter

AI image recognition training datasets (object/attribute/scene labeling)

Structured data creation and content classification for client deliverables

Content management image review and categorization

Top Data Types

Image

Text

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Freelance AI Data Annotator & Labeller (Independent, Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and Appen. Education includes Bachelor of Science, Strathmore University (2019) and Certificate, Coursera / DeepLearning.AI (2022). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Freelance AI Data Annotator & Labeller (Independent, Remote)

LabelboxImageClassification

Performed image object labelling across multiple AI training platforms, identifying and tagging primary objects in thousands of images. Validated visual attributes of objects and scenes including color, size, orientation, environment, and condition to support attribute recognition models. Followed classification frameworks rigorously and selected 'Unclear' when image detail was insufficient. • Achieved and maintained quality scores above 96% for completed tasks. • Applied structured guidelines for consistent categorisation and error flagging. • Managed personal task queues and met weekly submission targets without supervision. • Onboarded quickly to new project types and annotation tool interfaces.

2023 - Present

Digital Research & Data Entry Specialist (Upwork / Freelance, Remote)

OtherTextEntity (NER) Classification

Performed visual and textual research tasks for international clients resulting in accurate, detail-rich reports and structured data outputs. Reviewed and categorised large volumes of digital content using client-defined classification criteria with precision and consistency. Maintained meticulous digital filing systems to ensure data integrity across deliverables. • Applied client-specific categories to support structured data outputs. • Flagged ambiguities for resolution through client communication. • Produced progress updates across time zones and supported iterative review cycles. • Ensured consistent recordkeeping for data integrity.

2021 - 2022

Content & Media Assistant (Nairobi Digital Hub)

OtherImageClassification

Reviewed and assessed digital images and media assets for quality, relevance, and correct categorisation within content management systems. Supported production by organising and tagging visual media libraries with consistent naming and classification conventions. Identified inconsistencies, duplicates, and misclassified content to improve the accuracy of stored datasets. • Applied consistent category and naming standards for media management. • Performed visual quality checks to detect duplicates and misclassification. • Supported tagging of large visual libraries for downstream retrieval. • Contributed to improved organisation within content management workflows.

2019 - 2021

Education

Work History