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Erick Gumbah

Erick Gumbah

Image Annotation Project, text labeling and prompt review

KENYA flag
Nairobi, Kenya
$20.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Computer Vision
Natural Language Processing
Data Quality Assurance

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding Box
Classification
Data Collection

Freelancer Overview

Image Annotation Project. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and KOBO Collect. Education includes Certificate in Information and Communication Technology, Nairobi Aviation College (2022) and Kenya Certificate of Secondary Education, Missions of Hope Boys High School (2017). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Classification, and Evaluation.

ExpertSwahiliEnglish

Labeling Experience

IT Assistant (QA Support) – Data Validation & Annotation

Document
At Hillax Investment Company, I conduct ongoing data validation and support quality assurance for client datasets. My tasks include systematic validation, bug identification in data systems, and maintaining records to track issues. This role enhances the precision and trustworthiness of business-critical data. • Performed data validation and manual QA of identified datasets • Supported system testing for data handling reliability • Recorded, tracked, and reported found discrepancies • Ensured sustained high-quality data for company operations

At Hillax Investment Company, I conduct ongoing data validation and support quality assurance for client datasets. My tasks include systematic validation, bug identification in data systems, and maintaining records to track issues. This role enhances the precision and trustworthiness of business-critical data. • Performed data validation and manual QA of identified datasets • Supported system testing for data handling reliability • Recorded, tracked, and reported found discrepancies • Ensured sustained high-quality data for company operations

2024 - Present

Data Collector – Kenya Red Cross

DocumentData Collection
At Kenya Red Cross, I entered and verified structured data collected from field activities using KOBO Collect. I ensured high accuracy in data entry and validation of raw survey results for further processing. My work supported the quality control and reliability of humanitarian data projects. • Entered, checked, and validated structured data • Utilized KOBO Collect software for efficient data capture • Maintained accuracy during high-volume data entry tasks • Supported data integrity in humanitarian program reporting

At Kenya Red Cross, I entered and verified structured data collected from field activities using KOBO Collect. I ensured high accuracy in data entry and validation of raw survey results for further processing. My work supported the quality control and reliability of humanitarian data projects. • Entered, checked, and validated structured data • Utilized KOBO Collect software for efficient data capture • Maintained accuracy during high-volume data entry tasks • Supported data integrity in humanitarian program reporting

Not specified

Field Enumerator / Research Assistant

DocumentData Collection
As a Field Enumerator and Research Assistant in the Mukuru Slum Development Project, I collected, labeled, and validated field data for research analysis. My responsibilities included structured data gathering and accurate data verification to ensure integrity. The role involved hands-on labeling of survey responses for project reporting. • Collected and organized primary data from field surveys • Labeled and checked survey responses for accuracy • Followed standardized data validation guidelines • Ensured data readiness for further analysis

As a Field Enumerator and Research Assistant in the Mukuru Slum Development Project, I collected, labeled, and validated field data for research analysis. My responsibilities included structured data gathering and accurate data verification to ensure integrity. The role involved hands-on labeling of survey responses for project reporting. • Collected and organized primary data from field surveys • Labeled and checked survey responses for accuracy • Followed standardized data validation guidelines • Ensured data readiness for further analysis

Not specified

Field Data Structuring

DocumentData Collection
In the Field Data Structuring assignment, I organized and cleaned raw data collected from the field. The work included structuring, cleansing, and preparing datasets for analysis and reporting phases. This structured approach improved the usability of field data for research projects. • Cleaned and formatted large volumes of field-collected data • Addressed discrepancies and ensured data completeness • Organized datasets to enable accurate downstream analysis • Leveraged KOBO Collect for efficient data capture

In the Field Data Structuring assignment, I organized and cleaned raw data collected from the field. The work included structuring, cleansing, and preparing datasets for analysis and reporting phases. This structured approach improved the usability of field data for research projects. • Cleaned and formatted large volumes of field-collected data • Addressed discrepancies and ensured data completeness • Organized datasets to enable accurate downstream analysis • Leveraged KOBO Collect for efficient data capture

Not specified

Data Validation Project

Document
During the Data Validation Project, I systematically reviewed and corrected data for inconsistencies and errors. This involved applying evaluation metrics and flagging issues to enhance the reliability of datasets. The process ensured higher standards for data used in analytics and AI workflows. • Detected and fixed inaccurate or missing entries • Used validation tools and review checklists • Coordinated error-solving with project leads • Contributed to documented improvements in data reliability

During the Data Validation Project, I systematically reviewed and corrected data for inconsistencies and errors. This involved applying evaluation metrics and flagging issues to enhance the reliability of datasets. The process ensured higher standards for data used in analytics and AI workflows. • Detected and fixed inaccurate or missing entries • Used validation tools and review checklists • Coordinated error-solving with project leads • Contributed to documented improvements in data reliability

Not specified

Education

U

Udemy

Certificate In Data Entry, Data Entry

Certificate In Data Entry
2024 - 2024
M

Missions of Hope Boys High School

Kenya Certificate of Secondary Education, General Secondary Education

Kenya Certificate of Secondary Education
2014 - 2017

Work History

H

Hillax Investment Company

IT Assistant

Nairobi
2024 - Present
S

Sunrise Hotel

Operations Manager / Cashier

Nairobi
2021 - 2024