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Sam M.

Sam M.

Data Labeling Specialist at AI Solutions Ltd

Kenya flagNairobi, Kenya

Key Skills

Software

Label StudioLabel Studio
Other

Top Subject Matter

Agriculture Domain Expertise
Healthcare Data & Medical Documentation
Retail & E-commerce

Top Data Types

ImageImage
TextText

Top Task Types

Object DetectionObject Detection
Entity (NER) ClassificationEntity (NER) Classification
PolygonPolygon

Freelancer Overview

Data Labeling Specialist at AI Solutions Ltd. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Other. Education includes Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Image, Text, and Geospatial and labeling workflows including Object Detection, Entity (NER) Classification, and Polygon.

Labeling Experience

Label Studio

Data Labeling Specialist at AI Solutions Ltd

Label StudioLabel StudioImageImageObject DetectionObject Detection

Managed end-to-end image labeling pipelines for multiple client projects across agriculture, healthcare, and retail. Led a team of annotators to label 150,000+ images for object detection models while maintaining accuracy outcomes. Developed and optimized annotation guidelines to reduce revisions and improve inter-annotator agreement. • Organized labeling workflows across 12+ client projects. • Improved inter-annotator agreement to 0.92 and reduced revision cycles by 40%. • Implemented quality control workflows to decrease labeling errors by 25%. • Trained 15+ annotators on labeling protocols, tools, and best practices.

2022 - Present

Junior Data Annotator (Satellite Imagery Annotation) at Tech Start Analytics

OtherPolygonPolygon

Performed polygon segmentation on 25,000+ satellite images for land-use classification models. Carried out quality assurance checks on labeled datasets to identify and correct inconsistencies. Supported iterative improvements to annotation guidelines based on recurring edge cases. • Labeled polygon regions for land-use categories. • Identified labeling inconsistencies during QA and corrected them. • Contributed to guideline improvements using edge-case feedback. • Achieved consistent productivity ranking within the annotation team (top 10%).

2020 - 2022

Junior Data Annotator at Tech Start Analytics

OtherTextTextEntity (NER) ClassificationEntity (NER) Classification

Annotated 80,000+ text samples for named entity recognition and sentiment analysis projects. Performed dataset quality assurance by checking labeled outputs for inconsistencies and correcting errors. Contributed to annotation guideline improvements based on recurring edge cases. • Produced NER and sentiment-related labels for large text corpora. • Conducted QA checks on labeled datasets to ensure consistency. • Updated guidelines using insights from recurring difficult examples. • Maintained top productivity ranking within the annotation team (top 10%).

2020 - 2022

Education

U

University of Nairobi

Bachelor of Science, Information Technology

Bachelor of Science
2020

Work History

N

Nairobi,Kenya|March

AISolutionsLtd

Location not specified
2022 - Present