For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
J
John W.

John W.

Ai training specialist / high accuracy image and data labeling

Kenya flagNairobi, Kenya

Key Skills

Software

Other
CVATCVAT
LabelboxLabelbox
RoboflowRoboflow
Label StudioLabel Studio

Top Subject Matter

computer vision
self-driving cars

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Text GenerationText Generation
Object DetectionObject Detection
SegmentationSegmentation

Freelancer Overview

Online Micro-task Worker & Data Labeler (Remote freelancing platforms). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Internal, and Proprietary Tooling. Education includes semantic segmentation, and keypoint annotations for global computer vision models.TECHNICAL WORK ENVIRONMENTHardware: Reliable laptop with an Intel processor, 8GB RAM, and a high-resolution display optimal for detailed image labeling.Connectivity: High-speed, stable internet connection with mobile data backup to ensure 100% uptime.Availab

Labeling Experience

Digital Data Clerk & Quality Assistant (Independent Contractor / Local Data Projects)

Processed and verified digital passport-style photographs by conducting visual checks for compliance with strict framing, clarity, and lighting quality guidelines. Cross-referenced physical data sheets against digital entries to identify, flag, and correct data anomalies before final submission. Uploaded and categorized high volumes of citizen biographical data and photographs into secure databases with high accuracy. • Visual verification of passport-style photo quality • Framing, clarity, and lighting guideline compliance • Data anomaly detection and correction • High-accuracy uploads to secure systems

2024 - Present

Online Micro-task Worker & Data Labeler (Remote freelancing platforms)

OtherClassificationClassification

Executed remote micro-tasks for image categorization and object identification following text-to-image matching guidelines. Performed manual review of automated AI outputs to detect and correct misclassifications in complex visual elements. Maintained consistently high performance on pilot training tasks to qualify for higher-tier specialized annotation work. • Image categorization and object identification • Text-to-image matching guideline adherence • Manual correction of AI misclassifications • Performance-driven micro-task training execution

2022 - 2023

Education

P

PROFESSIONAL SUMMARYDetail-oriented and analytical Data Specialist with strong visual analysis skills and a reliable technical infrastructure in Kenya. Proven capability to execute highly repetitive visual tasks with pixel-level accuracy while strictly following complex project guidelines. Ready to leverage sharp spatial awareness to deliver high-quality bounding box

semantic segmentation, and keypoint annotations for global computer vision models.TECHNICAL WORK ENVIRONMENTHardware: Reliable laptop with an Intel processor, 8GB RAM, and a high-resolution display optimal for detailed image labeling.Connectivity: High-speed, stable internet connection with mobile data backup to ensure 100% uptime.Availability: 30–40 hours per week for remote asynchronous workflows.CORE SKILLS & COMPETENCIESComputer Vision Operations: Target Object Identification, Object Localization, Visual Data Classification, Boundary Detection.Data Quality Assurance: Label verification, error correction, strict guidelines adherence, pixel-level accuracy.Technical Aptitude: High-speed web browser operations, data entry platforms, cloud-based annotation tool interfaces.WORK HISTORYDigital Data Clerk & Quality AssistantIndependent Contractor / Local Data Projects (e.g., Huduma Namba, IEBC, or Local Digital Initiative)Kenya

semantic segmentation, and keypoint annotations for global computer vision models.TECHNICAL WORK ENVIRONMENTHardware: Reliable laptop with an Intel processor, 8GB RAM, and a high-resolution display optimal for detailed image labeling.Connectivity: High-speed, stable internet connection with mobile data backup to ensure 100% uptime.Availability: 30–40 hours per week for remote asynchronous workflows.CORE SKILLS & COMPETENCIESComputer Vision Operations: Target Object Identification, Object Localization, Visual Data Classification, Boundary Detection.Data Quality Assurance: Label verification, error correction, strict guidelines adherence, pixel-level accuracy.Technical Aptitude: High-speed web browser operations, data entry platforms, cloud-based annotation tool interfaces.WORK HISTORYDigital Data Clerk & Quality AssistantIndependent Contractor / Local Data Projects (e.g., Huduma Namba, IEBC, or Local Digital Initiative)Kenya
2024

Work History

I

Independent Contractor

Digital Data Clerk and Quality Assistant

Nairobi
2024 - Present
S

Self-Employed

Remote Freelance Micro-Task Worker

Nairobi
2022 - 2023