Joel Ogonyo

Key Skills

Software

Appen

Telus

Top Subject Matter

AI/ML model training (computer vision, NLP, multimodal datasets)

AI/ML model training and dataset optimization

Speech-to-text Domain Expertise

Top Data Types

Image

Video

Audio

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Data Collection

Transcription

Freelancer Overview

Detail-oriented Data Labeling Specialist with 4+ years of dedicated experience in high-volume image, video, audio, text, and multi-modal annotation for AI/ML training datasets. Expert in advanced labeling techniques (bounding boxes, polygons, semantic segmentation, metadata tagging) and rigorous data quality assurance. Proven expertise in cleaning crowd-sourced data, performing exploratory data analysis (EDA), and building automated validation pipelines using Python (Polars, Pandas). Passionate about delivering accurate, reproducible datasets that power AI models in computer vision, NLP, and robotics. Strong background in batch processing large files (5GB+) and ensuring 99%+ annotation accuracy.

Labeling Experience

Data Annotation Specialist

AppenImageBounding BoxPolygon

I conducted large-scale annotation tasks on image, video, audio, and text datasets to support AI/ML model training. My responsibilities included advanced labeling, data cleaning, and maintaining rigorous quality standards using custom Python pipelines. I collaborated with international teams to document processes and ensure dataset reproducibility and traceability. • Implemented bounding boxes, polygons, segmentation, and metadata tagging for diverse datasets. • Cleaned and validated crowd-sourced data, focusing on attention checks and temporal consistency. • Built automated validation and EDA pipelines for large files to ensure data quality. • Achieved and maintained annotation accuracy exceeding 99%.

I conducted large-scale annotation tasks on image, video, audio, and text datasets to support AI/ML model training. My responsibilities included advanced labeling, data cleaning, and maintaining rigorous quality standards using custom Python pipelines. I collaborated with international teams to document processes and ensure dataset reproducibility and traceability. • Implemented bounding boxes, polygons, segmentation, and metadata tagging for diverse datasets. • Cleaned and validated crowd-sourced data, focusing on attention checks and temporal consistency. • Built automated validation and EDA pipelines for large files to ensure data quality. • Achieved and maintained annotation accuracy exceeding 99%.

2022 - 2024

Transcription Specialist

TelusAudioTranscriptionData Collection

I transcribed audio and video content to high accuracy standards for use in AI model training. I also enhanced transcription quality using Python scripts for error detection and consistency. My work helped create reliable labeled datasets for NLP and speech-to-text AI systems. • Delivered verbatim and clean-read transcriptions with rigorous quality control. • Implemented speed-outlier and invariant pattern detection in transcripts. • Prepared and formatted datasets for direct AI training consumption. • Ensured consistent, high-quality annotations through repeated validation.

I transcribed audio and video content to high accuracy standards for use in AI model training. I also enhanced transcription quality using Python scripts for error detection and consistency. My work helped create reliable labeled datasets for NLP and speech-to-text AI systems. • Delivered verbatim and clean-read transcriptions with rigorous quality control. • Implemented speed-outlier and invariant pattern detection in transcripts. • Prepared and formatted datasets for direct AI training consumption. • Ensured consistent, high-quality annotations through repeated validation.

2021 - 2022

Data Annotation Specialist

TelusImageClassificationSegmentation

As a Data Annotation Specialist, I performed multi-modal labeling across image, video, audio, and text data for AI projects. I managed batch annotation workflows, documented quality decisions, and supported dataset optimization for AI model readiness. My work contributed directly to high-quality, production-ready datasets for machine learning. • Applied various annotation techniques including classification and segmentation. • Managed ongoing quality logs and documented batch discard decisions methodically. • Supported raw data collection and conversion into labeled datasets. • Facilitated version-controlled processes for data integrity.

As a Data Annotation Specialist, I performed multi-modal labeling across image, video, audio, and text data for AI projects. I managed batch annotation workflows, documented quality decisions, and supported dataset optimization for AI model readiness. My work contributed directly to high-quality, production-ready datasets for machine learning. • Applied various annotation techniques including classification and segmentation. • Managed ongoing quality logs and documented batch discard decisions methodically. • Supported raw data collection and conversion into labeled datasets. • Facilitated version-controlled processes for data integrity.

2020 - 2021

Education

Work History