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Bennett M.

Bennett M.

AI Annotation Practice (Portfolio Project)

Kenya flagMurang’a, Kenya

Key Skills

Software

Other
TolokaToloka
TelusTelus

Top Subject Matter

Beginner AI/ML training data annotation
Survey data preparation for analysis/ML readiness

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Bounding BoxBounding Box
CuboidCuboid
Text GenerationText Generation
Text SummarizationText Summarization
TranscriptionTranscription

Freelancer Overview

AI Annotation Practice (Portfolio Project). Professional background includes roles such as Field Measurement & Data Analyst (Freelance Support). Core strengths include Other and Google Sheets. Education includes Bachelor of Science, N/A. AI-training focus includes data types such as Text and Document and labeling workflows including Classification and Entity (NER) Classification.

Labeling Experience

Survey Data Cleaning (Portfolio Project)

DocumentDocumentEntity (NER) ClassificationEntity (NER) Classification

Bennett completed survey data cleaning by removing errors and standardizing datasets for reliable analysis. The effort improves data quality so the resulting dataset can be used for annotation or modeling tasks. This experience emphasizes preprocessing steps that are commonly required before labeling. • Removed errors from survey records • Standardized fields and formatting across the dataset • Organized the cleaned dataset for further processing • Prepared structured data suitable for future labeling/ML use

2025 - 2025

AI Annotation Practice (Portfolio Project)

OtherTextTextClassificationClassification

Bennett performed AI annotation practice by labeling sample datasets intended for machine learning training. The task focused on assigning appropriate labels to given records to create usable supervision for models. This reflects hands-on experience with preparing training data for basic ML workflows. • Labeled sample dataset instances for ML training practice • Applied classification-style labeling to records based on task definitions • Ensured consistency with labeling guidelines during practice • Coordinated labeling output with cleaned/organized datasets for downstream use

2025 - 2025

Education

N

N/A

Bachelor of Science, Mathematics and Physics

Bachelor of Science
Not specified

Work History

I

Independent Field Consultant

Field Measurement & Data Analyst (Freelance Support)

Murang’a
Not specified