Evalin Kiarie

Key Skills

Software

CVAT

Appen

Clickworker

CrowdSource

Data Annotation Tech

Mindrift

OneForma

Scale AI

Top Subject Matter

Computer Vision and NLP

General AI Data Annotation

Nlp Domain Expertise

Top Data Types

Image

Text

Video

Top Task Types

Bounding Box

Entity (NER) Classification

Classification

Segmentation

Point/Key Point

Object Detection

Question Answering

Text Summarization

RLHF

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

Machine Learning Engineer – AI Training & Data Annotation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Remotasks, and CVAT. Education includes Master of Science, University of Toronto (2017) and Bachelor of Science, McGill University (2015). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Entity (NER) Classification, and Classification.

Labeling Experience

Machine Learning Engineer – AI Training & Data Annotation Specialist

LabelboxImageBounding Box

Led data annotation pipelines for computer vision and NLP tasks, labeling and reviewing images, video clips, text, and multimodal datasets adhering to high-quality standards. Coordinated with model development teams to refine guidelines and executed quality checks for inter-annotator agreement. Mentored annotators in best practices and quality standards to ensure consistent outputs. • Labeled and reviewed multimodal datasets including images, text, and video. • Collaborated to improve annotation guidelines and QA procedures. • Spearheaded feedback loops between annotation and development teams. • Conducted dataset consistency and quality audits.

Led data annotation pipelines for computer vision and NLP tasks, labeling and reviewing images, video clips, text, and multimodal datasets adhering to high-quality standards. Coordinated with model development teams to refine guidelines and executed quality checks for inter-annotator agreement. Mentored annotators in best practices and quality standards to ensure consistent outputs. • Labeled and reviewed multimodal datasets including images, text, and video. • Collaborated to improve annotation guidelines and QA procedures. • Spearheaded feedback loops between annotation and development teams. • Conducted dataset consistency and quality audits.

2021 - Present

AI Trainer & Data Annotation Specialist (Part-Time / Freelance)

RemotasksTextEntity Ner Classification

Worked as an AI Trainer and Data Annotation Specialist on tasks for global AI clients through Remotasks, Outlier, and freelance projects. Created and executed annotation guidelines for various classification, segmentation, and transcription projects. Provided feedback on labeling schema improvements and contributed to high-accuracy datasets. • Managed large-scale annotation assignments for diverse client needs. • Developed annotation guidelines and processes. • Performed entity extraction, classification, and transcription. • Improved task and dataset quality benchmarks via QA and feedback.

Worked as an AI Trainer and Data Annotation Specialist on tasks for global AI clients through Remotasks, Outlier, and freelance projects. Created and executed annotation guidelines for various classification, segmentation, and transcription projects. Provided feedback on labeling schema improvements and contributed to high-accuracy datasets. • Managed large-scale annotation assignments for diverse client needs. • Developed annotation guidelines and processes. • Performed entity extraction, classification, and transcription. • Improved task and dataset quality benchmarks via QA and feedback.

2019 - Present

Computer Vision Bounding & Segmentation Project

CVATImageSegmentation

Labeled thousands of images for object detection and semantic segmentation to support computer vision model development. Ensured high annotation standards were met to positively impact real-time vision model performance. Contributed annotated datasets to ongoing improvements within the vision engineering team. • Executed pixel-precise segmentation on varied image sources. • Supported model training by delivering consistent annotations. • Worked closely with engineers for dataset QC reviews. • Offered feedback for annotation process enhancement.

Labeled thousands of images for object detection and semantic segmentation to support computer vision model development. Ensured high annotation standards were met to positively impact real-time vision model performance. Contributed annotated datasets to ongoing improvements within the vision engineering team. • Executed pixel-precise segmentation on varied image sources. • Supported model training by delivering consistent annotations. • Worked closely with engineers for dataset QC reviews. • Offered feedback for annotation process enhancement.

2021 - 2021

AI Text Annotation Workflow Optimization

LabelboxTextClassification

Designed and implemented improved text annotation guidelines to increase consistency in multi-lingual dataset labeling workflows. Raised annotation consistency by 17%, contributing to greater model evaluation results. Led refinement processes for annotation best practices and workflow execution. • Executed QA reviews and annotation audits. • Facilitated collaboration between annotators and developers. • Used analytics to evaluate workflow changes. • Implemented more structured annotation review.

Designed and implemented improved text annotation guidelines to increase consistency in multi-lingual dataset labeling workflows. Raised annotation consistency by 17%, contributing to greater model evaluation results. Led refinement processes for annotation best practices and workflow execution. • Executed QA reviews and annotation audits. • Facilitated collaboration between annotators and developers. • Used analytics to evaluate workflow changes. • Implemented more structured annotation review.

2020 - 2021

Education

Work History