Richard K.

Key Skills

Software

Other

Appen

CVAT

iMerit

LabelImg

Top Subject Matter

Football data and sports content datasets

Sports/football images for AI training

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Object Detection

Bounding Box

Segmentation

Polygon

Freelancer Overview

I bring a proven track record in AI training and data annotation, highlighted by my hands on role at Outlier executing high-volume text and football-related data annotation tasks, match event tagging, and metadata classification. I specialize in precision-driven data labeling and rigorous quality control, which includes detailed fact-checking, metadata verification, and auditing AI-generated outputs against strict guidelines to eliminate inconsistencies. My services will directly optimize your workflow through the precise classification of text, image, and specialized sports datasets while maintaining consistent performance, meeting deadlines, and working independently with minimal supervision. What sets me apart is a unique analytical framework derived from pursuing a Bachelor of Medicine and Surgery (MBBS) at Kampala International University, Tanzania, which demands extreme attention to detail and structured data review. This academic rigor is paired with a technical foundation from a Certificate in Information and Communication Technology (ICT), allowing me to adapt instantly to new platforms and software. Additionally, my exceptional bilingual capabilities as a native Swahili speaker (C2) with fluent English proficiency (C1) ensure that I can confidently manage, translate, or annotate multilingual datasets without losing localized context

Labeling Experience

AI Data Annotator and Sports Content Labeler (Remote) — Outlier (2025–Present)

OtherImageObject Detection

Annotated image content as part of tagging and classification for AI training datasets. Combined image labeling with sports-event and metadata tagging to improve model recognition and dataset consistency. Conducted quality assurance through guideline compliance and analytical review. • Labeled image items to match dataset taxonomy and instructions • Supported sports-event metadata classification alongside image tagging • Performed QA checks to identify inconsistencies and errors • Collaborated remotely with project teams and reviewers on standards

2025 - Present

Education

Work History