Bonface Kipchumba

Key Skills

Software

Clickworker

Appen

CVAT

Data Annotation Tech

Lionbridge

Prodigy

V7 Labs

Toloka

OneForma

Top Subject Matter

AI model evaluation and training

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Segmentation

RLHF

Fine Tuning

Classification

Object Detection

Text Generation

Question Answering

Freelancer Overview

Freelance Data Annotator & Content Reviewer. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Clickworker. Education includes Master of Arts, University of Nairobi (2022) and Bachelor of Arts in Education, University of Nairobi (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Freelance Data Annotator & Content Reviewer

ClickworkerText

As a Freelance Data Annotator & Content Reviewer for platforms such as Upwork, Clickworker, and OneForma, I conducted diverse annotation and evaluation tasks across text, audio, image, and video data. My responsibilities included performing pairwise comparisons, content labeling, and providing structured feedback to support AI model development. I ensured compliance with project guidelines and data quality standards in all labeling initiatives. • Conducted pairwise comparisons and multi-modal data labeling (text, audio, image, and video). • Reviewed and rated AI-generated content for accuracy, fairness, and bias mitigation. • Audited completed annotation tasks for quality assurance and consistency. • Delivered structured feedback to guide annotation improvements.

As a Freelance Data Annotator & Content Reviewer for platforms such as Upwork, Clickworker, and OneForma, I conducted diverse annotation and evaluation tasks across text, audio, image, and video data. My responsibilities included performing pairwise comparisons, content labeling, and providing structured feedback to support AI model development. I ensured compliance with project guidelines and data quality standards in all labeling initiatives. • Conducted pairwise comparisons and multi-modal data labeling (text, audio, image, and video). • Reviewed and rated AI-generated content for accuracy, fairness, and bias mitigation. • Audited completed annotation tasks for quality assurance and consistency. • Delivered structured feedback to guide annotation improvements.

2019 - Present

Medical Image Annotation for DICOM Datasets

Medical DicomSegmentation

Annotated medical imaging datasets in DICOM format to support the development of AI models for healthcare applications. Tasks included reviewing medical images such as CT and MRI scans, segmenting regions of interest, and labeling anatomical structures according to project guidelines. Ensured high accuracy, data consistency, and compliance with annotation standards to improve machine learning models used for medical image analysis and diagnostics

Annotated medical imaging datasets in DICOM format to support the development of AI models for healthcare applications. Tasks included reviewing medical images such as CT and MRI scans, segmenting regions of interest, and labeling anatomical structures according to project guidelines. Ensured high accuracy, data consistency, and compliance with annotation standards to improve machine learning models used for medical image analysis and diagnostics

2025 - 2025

Audio annotation and speech transcription

AudioTranscription

Performed audio data annotation to support speech recognition and natural language processing models. Tasks included transcribing spoken audio into text, identifying different speakers, and labeling background sounds when required. Followed detailed annotation guidelines to ensure high accuracy and consistency. The labeled data helped improve AI systems used for voice assistants, automated transcription, and language processing.

Performed audio data annotation to support speech recognition and natural language processing models. Tasks included transcribing spoken audio into text, identifying different speakers, and labeling background sounds when required. Followed detailed annotation guidelines to ensure high accuracy and consistency. The labeled data helped improve AI systems used for voice assistants, automated transcription, and language processing.

2022 - 2024

Video annotation for object detection

VideoObject Detection

Annotated video datasets by identifying and labeling objects frame-by-frame to support machine learning model training. Tasks included drawing bounding boxes around moving objects, tracking objects across frames, and ensuring labeling accuracy according to project guidelines. Maintained consistency and quality to help improve computer vision models used for automation and video analysis.

Annotated video datasets by identifying and labeling objects frame-by-frame to support machine learning model training. Tasks included drawing bounding boxes around moving objects, tracking objects across frames, and ensuring labeling accuracy according to project guidelines. Maintained consistency and quality to help improve computer vision models used for automation and video analysis.

2021 - 2021

Data annotation

ImageClassification

Annotated and labeled image datasets to support machine learning model training. Tasks included image classification, identifying objects within images, and assigning accurate labels based on predefined guidelines. Maintained high accuracy and consistency while reviewing large datasets. Ensured quality control by verifying labels and following annotation standards to improve the performance of computer vision models.

Annotated and labeled image datasets to support machine learning model training. Tasks included image classification, identifying objects within images, and assigning accurate labels based on predefined guidelines. Maintained high accuracy and consistency while reviewing large datasets. Ensured quality control by verifying labels and following annotation standards to improve the performance of computer vision models.

2020 - 2020

Education

Work History