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Brian Joseph

Data Annotation & Evaluation Specialist

Kenya flagnairobi, Kenya
$10.00/hrIntermediateOtherData Annotation TechSuperannotate

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
SuperAnnotateSuperAnnotate
OneFormaOneForma
ClickworkerClickworker

Top Subject Matter

Financial Domain Expertise
Operational Domain Expertise
and performance data labeling for AI evaluation

Top Data Types

TextText

Top Task Types

ClassificationClassification

Freelancer Overview

Data Annotation & Evaluation Specialist. Core strengths include Internal, Proprietary Tooling, and N. AI-training focus includes data types such as Structured Data and Text and labeling workflows including Classification, Evaluation, and Rating.

IntermediateEnglishSwahili

Labeling Experience

Data & Operations Associate

TextClassification
As a Data & Operations Associate, I meticulously reviewed, organized, and quality-checked datasets to support business and AI operations. I followed detailed guidelines to ensure data labeling accuracy and maintained structured, reliable records throughout the process. By identifying patterns and inconsistencies, I contributed to high dataset consistency for ongoing analytical and AI projects. • Performed quality assurance checks to validate labeled data • Maintained structured records for analysis and reporting • Worked directly with sensitive and operational data sets • Utilized best practices for accuracy and adherence to guidelines

As a Data & Operations Associate, I meticulously reviewed, organized, and quality-checked datasets to support business and AI operations. I followed detailed guidelines to ensure data labeling accuracy and maintained structured, reliable records throughout the process. By identifying patterns and inconsistencies, I contributed to high dataset consistency for ongoing analytical and AI projects. • Performed quality assurance checks to validate labeled data • Maintained structured records for analysis and reporting • Worked directly with sensitive and operational data sets • Utilized best practices for accuracy and adherence to guidelines

2025 - Present

Data Annotation & Evaluation Specialist

Classification
As a Data Annotation & Evaluation Specialist, I worked on labeling and categorizing large volumes of structured datasets, including financial and performance data. I reviewed, classified, and validated data entries according to predefined annotation guidelines. I maintained a high degree of accuracy by identifying inconsistencies and conducting regular quality assurance checks. • Labeled structured and text datasets for classification and evaluation tasks. • Applied annotation rules, flagged edge cases, and documented recurring issues. • Collaborated with other team members to improve process consistency and data reliability. • Processed data efficiently under strict quality standards.

As a Data Annotation & Evaluation Specialist, I worked on labeling and categorizing large volumes of structured datasets, including financial and performance data. I reviewed, classified, and validated data entries according to predefined annotation guidelines. I maintained a high degree of accuracy by identifying inconsistencies and conducting regular quality assurance checks. • Labeled structured and text datasets for classification and evaluation tasks. • Applied annotation rules, flagged edge cases, and documented recurring issues. • Collaborated with other team members to improve process consistency and data reliability. • Processed data efficiently under strict quality standards.

2025 - 2026

AI-Related & Academic Projects (Text Annotation and Classification)

OtherTextClassification
In a self-initiated AI Data Annotation Project, I annotated and evaluated various text datasets such as chatbot responses and user prompts. I ranked AI-generated outputs based on relevance, clarity, and accuracy to aid in improving AI models. Consistent application of annotation guidelines resulted in more reliable training data and improved labeling quality. • Labeled chatbot and written content for classification and ranking purposes. • Identified and clarified edge cases to improve dataset accuracy. • Ensured all data followed consistent annotation guidelines. • Focused on enhancing overall label consistency through iterative feedback.

In a self-initiated AI Data Annotation Project, I annotated and evaluated various text datasets such as chatbot responses and user prompts. I ranked AI-generated outputs based on relevance, clarity, and accuracy to aid in improving AI models. Consistent application of annotation guidelines resulted in more reliable training data and improved labeling quality. • Labeled chatbot and written content for classification and ranking purposes. • Identified and clarified edge cases to improve dataset accuracy. • Ensured all data followed consistent annotation guidelines. • Focused on enhancing overall label consistency through iterative feedback.

Not specified

Education

U

University of Nairobi

Bachelor of Arts, Linguistics and Economics

Bachelor of Arts
Not specified

Work History

H

hakki africa limited

hakki-bolt associate

Nairobi
2024 - 2025