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Victor Immoh

Victor Immoh

Freelance Digital Operations Specialist & Full-Stack Developer

Kenya flagNairobi, Kenya
$4.00/hrIntermediateAppenData Annotation TechImerit

Key Skills

Software

AppenAppen
Data Annotation TechData Annotation Tech
iMeritiMerit
LabelImgLabelImg
Label StudioLabel Studio
Micro1
MindriftMindrift
OneFormaOneForma

Top Subject Matter

Healthcare – Medical Records & Patient Data Experience working with sensitive healthcare data, including annotating and organizing medical records, ensuring data accuracy, confidentiality, and compliance with data protection standards.
Finance – Risk Analysis & Fraud Detection Involved in labeling and reviewing financial data to identify patterns related to risk and potential fraud, supporting models used for anomaly detection and decision-making.
E-commerce – Product Categorization & Customer Support Worked on categorizing products, tagging attributes, and supporting customer-related data tasks to improve search relevance, recommendations, and overall user experience.

Top Data Types

Computer Code ProgrammingComputer Code Programming
ImageImage
VideoVideo

Top Task Types

ClassificationClassification
SegmentationSegmentation
Computer Programming/CodingComputer Programming/Coding
Question AnsweringQuestion Answering
Text GenerationText Generation
Object DetectionObject Detection

Freelancer Overview

Freelance Digital Operations Specialist & Full-Stack Developer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Science, computer science (2024) and N/A, Nakuru High School (2020).

IntermediateEnglishSwahili

Labeling Experience

image annotator

ImageClassification
I worked on an image annotation project focused on labeling and categorizing visual data to support machine learning models. My tasks included drawing bounding boxes, image classification, segmentation, and tagging key objects and features within images according to detailed guidelines. The project involved processing a large dataset, requiring accuracy and consistency across all annotations. To ensure quality, I followed strict labeling standards, maintained precise and consistent annotations, and performed regular reviews to correct any errors. I also adhered to quality assurance protocols, including validation checks and feedback incorporation, to meet the required accuracy levels for reliable AI training outcomes.

I worked on an image annotation project focused on labeling and categorizing visual data to support machine learning models. My tasks included drawing bounding boxes, image classification, segmentation, and tagging key objects and features within images according to detailed guidelines. The project involved processing a large dataset, requiring accuracy and consistency across all annotations. To ensure quality, I followed strict labeling standards, maintained precise and consistent annotations, and performed regular reviews to correct any errors. I also adhered to quality assurance protocols, including validation checks and feedback incorporation, to meet the required accuracy levels for reliable AI training outcomes.

2026 - Present

data annotator

VideoSegmentation
I worked on a video annotation project , where the primary scope involved labeling and segmenting visual data to support computer vision model training. My tasks included frame-by-frame annotation, object tracking, and tagging specific actions and events within videos to ensure accurate dataset creation. The project involved handling a moderate to large dataset, requiring consistency across multiple annotation sessions. To maintain high quality, I adhered strictly to the provided annotation guidelines, ensured precise bounding boxes and labels, and conducted regular self-reviews to minimize errors. I also followed quality control measures such as validation checks and guideline updates to ensure the annotations met the required standards for AI model training.

I worked on a video annotation project , where the primary scope involved labeling and segmenting visual data to support computer vision model training. My tasks included frame-by-frame annotation, object tracking, and tagging specific actions and events within videos to ensure accurate dataset creation. The project involved handling a moderate to large dataset, requiring consistency across multiple annotation sessions. To maintain high quality, I adhered strictly to the provided annotation guidelines, ensured precise bounding boxes and labels, and conducted regular self-reviews to minimize errors. I also followed quality control measures such as validation checks and guideline updates to ensure the annotations met the required standards for AI model training.

2025 - 2025

Education

N

Nakuru High School

N/A, N/A

N/A
2020 - 2020
N

N/A

Bachelor of Science, Computer Science

Bachelor of Science
2024

Work History

S

Self-Employed

Freelance Digital Operations Specialist & Full-Stack Developer

Nairobi
2024 - Present
P

PCK Posta

IT & Network Infrastructure Intern

Nairobi
2024 - 2024