Joy Wangechi

Key Skills

Software

Appen

Remotasks

Scale AI

Telus

iMerit

Other

Top Subject Matter

Computer Vision

Object Detection

Autonomous Systems

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Transcription

Freelancer Overview

AI Data Annotation Specialist (Remote Projects). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Remotasks, and Scale AI. Education includes Bachelor of Science, Moi University. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Evaluation, and Rating.

Labeling Experience

AI Data Annotation Specialist (Remote Projects)

AppenImageBounding Box

As an AI Data Annotation Specialist, I annotated image datasets using bounding boxes, polygons, and segmentation tools to identify objects and features. I completed annotation tasks for video and LiDAR data, and reviewed and corrected labeling errors. My work involved maintaining high standards for both accuracy and productivity across a range of remote AI training projects. • Supported computer vision research via detailed image and video labeling. • Applied bounding boxes and polygons to annotate vehicles, pedestrians, and infrastructure. • Performed semantic segmentation to enable object classification and recognition. • Used multiple platforms and tools to complete visual annotation tasks.

As an AI Data Annotation Specialist, I annotated image datasets using bounding boxes, polygons, and segmentation tools to identify objects and features. I completed annotation tasks for video and LiDAR data, and reviewed and corrected labeling errors. My work involved maintaining high standards for both accuracy and productivity across a range of remote AI training projects. • Supported computer vision research via detailed image and video labeling. • Applied bounding boxes and polygons to annotate vehicles, pedestrians, and infrastructure. • Performed semantic segmentation to enable object classification and recognition. • Used multiple platforms and tools to complete visual annotation tasks.

2022 - Present

AI Training and Data Evaluation

AppenText

During AI Training and Data Evaluation work, I evaluated AI-generated responses for clarity, relevance, and logical accuracy. My duties included structured feedback for refining language model datasets. I also flagged outputs that did not align with project expectations or guidelines. • Rated and evaluated language model outputs. • Provided feedback for dataset improvement. • Identified errors and tracked issues in responses. • Supported dataset refinement for AI language models.

During AI Training and Data Evaluation work, I evaluated AI-generated responses for clarity, relevance, and logical accuracy. My duties included structured feedback for refining language model datasets. I also flagged outputs that did not align with project expectations or guidelines. • Rated and evaluated language model outputs. • Provided feedback for dataset improvement. • Identified errors and tracked issues in responses. • Supported dataset refinement for AI language models.

2024 - 2026

Computer Vision Annotation Projects

Scale AIImageBounding Box

In Computer Vision Annotation Projects, I focused on object detection and scene recognition datasets to train AI systems. I created bounding boxes around vehicles, pedestrians, and environmental objects to support model training. I also reviewed labeled data for quality and consistency. • Created bounding boxes for visual recognition datasets. • Labeled scenes for vehicle and object detection use cases. • Performed quality audits to maintain annotation accuracy. • Assisted in training models for object classification tasks.

In Computer Vision Annotation Projects, I focused on object detection and scene recognition datasets to train AI systems. I created bounding boxes around vehicles, pedestrians, and environmental objects to support model training. I also reviewed labeled data for quality and consistency. • Created bounding boxes for visual recognition datasets. • Labeled scenes for vehicle and object detection use cases. • Performed quality audits to maintain annotation accuracy. • Assisted in training models for object classification tasks.

2024 - 2026

Transcription and Speech Data Projects

AppenAudioTranscription

In Transcription and Speech Data Projects, I transcribed conversational audio files to support speech recognition training. This required detailed listening, accurate timestamping, and careful adherence to formatting rules. I reviewed transcripts for consistency, completeness, and quality assurance. • Transcribed audio conversations for model training. • Ensured accuracy and proper formatting in transcripts. • Reviewed and corrected transcript errors as part of QA workflows. • Improved dataset quality for speech-based AI systems.

In Transcription and Speech Data Projects, I transcribed conversational audio files to support speech recognition training. This required detailed listening, accurate timestamping, and careful adherence to formatting rules. I reviewed transcripts for consistency, completeness, and quality assurance. • Transcribed audio conversations for model training. • Ensured accuracy and proper formatting in transcripts. • Reviewed and corrected transcript errors as part of QA workflows. • Improved dataset quality for speech-based AI systems.

2025 - 2025

Education

Work History