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V

Victor Cheboi

Machine Learning Engineer (Data Labeling)

CANADA flag
Toronto, ON, Canada
$12.00/hrExpertAxiom AIAppenClickworker

Key Skills

Software

Axiom AI
AppenAppen
ClickworkerClickworker
CloudFactoryCloudFactory
CVATCVAT
EncordEncord
LabelboxLabelbox
MindriftMindrift
TolokaToloka
TelusTelus
SamaSama
RemotasksRemotasks
OneFormaOneForma

Top Subject Matter

Machine Learning Classification/Regression
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification
Bounding Box
Polygon
Segmentation
Evaluation Rating
Red Teaming
Fine Tuning
Transcription
RLHF
Text Summarization
Text Generation
Object Detection
Cuboid
Question Answering

Freelancer Overview

Machine Learning Engineer (Data Labeling). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2018). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertSwahiliEnglishSpanish

Labeling Experience

Machine Learning Engineer (Data Labeling)

TextClassification
Created and labeled task datasets for ML training pipelines focused on classification and regression problems. Utilized Python and scikit-learn to prepare and annotate structured datasets for model development. Collaborated with the team to ensure high-quality labeled data for ML workflows. • Labeled structured data for supervised learning tasks • Evaluated and flagged inconsistencies in model output • Documented methodology in shared technical wikis • Worked independently and reported findings during team syncs

Created and labeled task datasets for ML training pipelines focused on classification and regression problems. Utilized Python and scikit-learn to prepare and annotate structured datasets for model development. Collaborated with the team to ensure high-quality labeled data for ML workflows. • Labeled structured data for supervised learning tasks • Evaluated and flagged inconsistencies in model output • Documented methodology in shared technical wikis • Worked independently and reported findings during team syncs

2022 - Present

Education

U

University of Nairobi

Bachelor of Science, Computer Science

Bachelor of Science
2014 - 2018

Work History

A

Avicenna Analytics

Junior Data Scientist

Toronto, ON
2020 - 2021
S

Softlink Solutions

Software Developer

Nairobi
2018 - 2020