Alex Kimeu

Key Skills

Software

Label Studio

CVAT

Remotasks

Scale AI

Appen

Labelbox

Top Subject Matter

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Classification

Object Detection

Entity Ner Classification

Data Collection

Transcription

RLHF

Bounding Box

Evaluation Rating

Freelancer Overview

Customer Data Classification & Text Annotation. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio and CVAT. Education includes Certified Procurement and Supply Chain Professional, Kenya Institute of Supply Chain Management (2025) and Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Bounding Box, and Entity (NER) Classification.

Labeling Experience

Customer Data Classification & Text Annotation

Label StudioTextClassification

This role involved classifying and segmenting customer and stakeholder text data to support marketing efforts. Datasets were cleaned, validated, and standardized for reporting quality and accuracy. Text annotation methods increased consistency and improved data workflows. • Classified and segmented customer profiles and engagement records • Performed text data annotation for CRM and campaign datasets • Cleaned and validated structured and unstructured datasets • Improved data quality for business decision-making

This role involved classifying and segmenting customer and stakeholder text data to support marketing efforts. Datasets were cleaned, validated, and standardized for reporting quality and accuracy. Text annotation methods increased consistency and improved data workflows. • Classified and segmented customer profiles and engagement records • Performed text data annotation for CRM and campaign datasets • Cleaned and validated structured and unstructured datasets • Improved data quality for business decision-making

2024 - Present

Image Annotation for Object Detection

CVATImageBounding Box

In this role, images were annotated using bounding boxes and classification for retail object detection tasks. The project focused on identifying products and inventory items in large datasets. Quality checks ensured labeling accuracy throughout the process. • Drew bounding boxes for products and items • Classified images by inventory type • Conducted manual quality assurance • Managed high-volume image datasets

In this role, images were annotated using bounding boxes and classification for retail object detection tasks. The project focused on identifying products and inventory items in large datasets. Quality checks ensured labeling accuracy throughout the process. • Drew bounding boxes for products and items • Classified images by inventory type • Conducted manual quality assurance • Managed high-volume image datasets

2024 - 2024

Sentiment Analysis & Text Classification

Label StudioTextClassification

This project focused on labeling customer feedback and textual records for sentiment analysis. Texts were assigned sentiment categories and key themes identified according to guidelines. Contributions enhanced the reliability of customer experience analytics. • Labeled customer feedback as positive, negative, or neutral • Identified themes such as service quality and satisfaction • Ensured annotation guideline compliance • Supported actionable customer insights

This project focused on labeling customer feedback and textual records for sentiment analysis. Texts were assigned sentiment categories and key themes identified according to guidelines. Contributions enhanced the reliability of customer experience analytics. • Labeled customer feedback as positive, negative, or neutral • Identified themes such as service quality and satisfaction • Ensured annotation guideline compliance • Supported actionable customer insights

2023 - 2023

Entity Tagging & Data Structuring (NER)

Label StudioTextEntity Ner Classification

This project involved tagging key entities like names, locations, and organizations in CRM datasets. Data cleaning and normalization supported improved structuring and automation. Results enabled better data consistency and searchability. • Tagged names, organizations, and locations (NER) • Structured CRM records for usability • Cleaned and normalized text data • Facilitated data automation initiatives

This project involved tagging key entities like names, locations, and organizations in CRM datasets. Data cleaning and normalization supported improved structuring and automation. Results enabled better data consistency and searchability. • Tagged names, organizations, and locations (NER) • Structured CRM records for usability • Cleaned and normalized text data • Facilitated data automation initiatives

2022 - 2023

Education

Work History