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Philip Simiyu

Philip Simiyu

AI Data Trainer, TELUS

Kenya flagNairobi, Kenya
$22.00/hrExpertTelus

Key Skills

Software

TelusTelus

Top Subject Matter

Speech recognition
image classification
recommendation systems

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Task Types

ClassificationClassification
SegmentationSegmentation
Bounding BoxBounding Box
Object DetectionObject Detection
Text GenerationText Generation
Text SummarizationText Summarization
Question AnsweringQuestion Answering
Fine-tuningFine-tuning
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection

Freelancer Overview

AI Data Trainer, TELUS. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus. Education includes Master of Science, Strathmore University (2019) and Bachelor of Science, University of Nairobi (2017). AI-training focus includes data types such as Audio and labeling workflows including Classification.

ExpertEnglishSwahili

Labeling Experience

Telus

AI Data Trainer, TELUS

TelusAudioClassification
I collaborated with data scientists and machine learning engineers to build high-quality datasets for AI model training and optimization. My responsibilities included data annotation, debugging errors, tuning model parameters, and iterative training/testing cycles to improve AI and ML model accuracy. I primarily worked on datasets for speech recognition and image classification applications. • Labeled and classified speech and visual data for use in ML models. • Tuned hyperparameters and expanded annotation coverage for better model results. • Supported error debugging and reviewed dataset integrity. • Worked with recommendation system models for iterative model upgrades.

I collaborated with data scientists and machine learning engineers to build high-quality datasets for AI model training and optimization. My responsibilities included data annotation, debugging errors, tuning model parameters, and iterative training/testing cycles to improve AI and ML model accuracy. I primarily worked on datasets for speech recognition and image classification applications. • Labeled and classified speech and visual data for use in ML models. • Tuned hyperparameters and expanded annotation coverage for better model results. • Supported error debugging and reviewed dataset integrity. • Worked with recommendation system models for iterative model upgrades.

2019 - Present

Education

S

Strathmore University

Master of Science, Computer Science

Master of Science
2017 - 2019
U

University of Nairobi

Bachelor of Science, Computer Science

Bachelor of Science
2013 - 2017

Work History

S

Strathmore University

Research Assistant

Nairobi
2017 - 2019