Reuben Kiriama

Key Skills

Software

Labelbox

CloudFactory

Top Subject Matter

Nlp Domain Expertise

AI Research

Localization Domain Expertise

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Entity (NER) Classification

Freelancer Overview

Senior Data Annotation Specialist, Samasource (Sama). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Amazon SageMaker Ground Truth, and CloudFactory. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2018). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Bounding Box, and Entity (NER) Classification.

Labeling Experience

Senior Data Annotation Specialist, Samasource (Sama)

LabelboxTextClassification

Managed an NLP annotation team producing over 500,000 labeled text samples per month for a major AI client. Drove efficiency and accuracy gains by redesigning guidelines and introducing robust QA rubrics. Oversaw delivery of bilingual content annotation for East African market localization.• Maintained 99.1% inter-annotator agreement scores• Implemented random-sample QA audits reducing error escalations by 40%• Resolved labeling edge cases via direct liaison with ML engineers• Used Labelbox, Scale AI, CVAT, and Prodigy for annotation and QA tracking

Managed an NLP annotation team producing over 500,000 labeled text samples per month for a major AI client. Drove efficiency and accuracy gains by redesigning guidelines and introducing robust QA rubrics. Oversaw delivery of bilingual content annotation for East African market localization.• Maintained 99.1% inter-annotator agreement scores• Implemented random-sample QA audits reducing error escalations by 40%• Resolved labeling edge cases via direct liaison with ML engineers• Used Labelbox, Scale AI, CVAT, and Prodigy for annotation and QA tracking

2023 - Present

Data Annotation Analyst, TELUS AI Data Solutions

ImageBounding Box

Annotated multimodal datasets for clients in healthcare, retail, and autonomous systems, including image classification and polygon segmentation. Supported RLHF projects by evaluating and ranking AI-generated responses. Performed intent classification and entity-tagging on conversational datasets for chatbots and virtual assistants.• Delivered consistently above 98.5% annotation accuracy• Supported English and Swahili annotation for diverse user bases• Participated in LLM fine-tuning and model feedback cycles• Used Amazon SageMaker Ground Truth, Toloka, and TELUS AI Platform

Annotated multimodal datasets for clients in healthcare, retail, and autonomous systems, including image classification and polygon segmentation. Supported RLHF projects by evaluating and ranking AI-generated responses. Performed intent classification and entity-tagging on conversational datasets for chatbots and virtual assistants.• Delivered consistently above 98.5% annotation accuracy• Supported English and Swahili annotation for diverse user bases• Participated in LLM fine-tuning and model feedback cycles• Used Amazon SageMaker Ground Truth, Toloka, and TELUS AI Platform

2021 - 2023

Freelance Data Annotator, CloudFactory

CloudfactoryTextClassification

Worked as a freelance annotator handling image tagging, audio transcription, text classification, and data collection for global AI initiatives. Focused on fine-grained sentiment and opinion labeling for various domains. Accumulated more than 80,000 accurately annotated items across 12 projects.• Achieved top-contributor status on platform• Received consistently high quality and reviewer marks• Juggled multimodal annotation and strict deadlines• Employed CloudFactory software for workflow management

Worked as a freelance annotator handling image tagging, audio transcription, text classification, and data collection for global AI initiatives. Focused on fine-grained sentiment and opinion labeling for various domains. Accumulated more than 80,000 accurately annotated items across 12 projects.• Achieved top-contributor status on platform• Received consistently high quality and reviewer marks• Juggled multimodal annotation and strict deadlines• Employed CloudFactory software for workflow management

2019 - 2021

Academic NER Annotator, JKUAT Final Year Project

TextEntity Ner Classification

Developed a manually annotated Named Entity Recognition (NER) corpus for Kenyan news articles as an academic research project. Designed annotation schema, labeled over 10,000 sentences with person, organization, and location entities, and assessed inter-annotator agreement. The corpus was used for NER model evaluation and benchmarking.• Used standard IAA evaluation and Cohen’s Kappa• Focused on news and information domains• 10,000+ sentences labeled• Provided for Kenyan NLP research and education

Developed a manually annotated Named Entity Recognition (NER) corpus for Kenyan news articles as an academic research project. Designed annotation schema, labeled over 10,000 sentences with person, organization, and location entities, and assessed inter-annotator agreement. The corpus was used for NER model evaluation and benchmarking.• Used standard IAA evaluation and Cohen’s Kappa• Focused on news and information domains• 10,000+ sentences labeled• Provided for Kenyan NLP research and education

2018 - 2018

Education

Work History