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Bart Hooghiemstra

Bart Hooghiemstra

AI Data Annotation Specialist | Expert in Training AI & Machine Learning

Spain flagGranada, Spain
$20.00/hrExpertCrowdsourceLionbridgeRemotasks

Key Skills

Software

CrowdSourceCrowdSource
LionbridgeLionbridge
RemotasksRemotasks
TelusTelus
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Classification
Data Collection
Evaluation Rating
Object Detection
Text Generation

Freelancer Overview

With extensive freelance experience across various roles, I have developed a solid foundation in data labeling and AI training data. As a Machine Learning Assistant at Welocalize and Lausanne Business Solutions, I have honed my skills in transcription, translation, and linguistic data construction. These tasks involve ensuring the accuracy of language data for training machine learning models, contributing to AI's natural language processing (NLP) capabilities. My role also includes administrative support, data entry, and quality control for linguistic solutions, which require attention to detail and a deep understanding of AI applications in language. Additionally, my customer service experience with Conversation24 and Digital Customer Care Company involved troubleshooting software issues and supporting AI-based systems, allowing me to gain insights into the operational side of AI technologies in customer interactions. These experiences enable me to bridge the gap between human-driven processes and AI systems, strengthening my ability to work on AI training datasets with a user-centric approach. The combination of linguistic expertise, AI-focused administrative work, and customer service support positions me well for further opportunities in data labeling and AI training.

ExpertDutchEnglishSpanish

Labeling Experience

Customer Service Chatbot Response Evaluation

Internal Proprietary ToolingTextClassificationEmotion Recognition
At Mindy Support, I evaluated responses from AI-powered customer service chatbots. My focus was on classifying the effectiveness of responses, identifying emotional tones in customer queries, and ensuring responses were contextually relevant. This data helped refine the AI system’s ability to handle sensitive customer issues and enhance customer experience.

At Mindy Support, I evaluated responses from AI-powered customer service chatbots. My focus was on classifying the effectiveness of responses, identifying emotional tones in customer queries, and ensuring responses were contextually relevant. This data helped refine the AI system’s ability to handle sensitive customer issues and enhance customer experience.

2024

AI-Powered Customer Support Response Evaluation

Internal Proprietary ToolingTextClassificationEmotion Recognition
As a freelance chat operator at Conversation24, I evaluated AI-generated customer support responses for tone, accuracy, and customer satisfaction. I classified responses based on customer emotions (e.g., frustration, satisfaction) and helped optimize the system by identifying areas for improvement. My role also included summarizing chat interactions to help refine the AI’s ability to handle complex issues.

As a freelance chat operator at Conversation24, I evaluated AI-generated customer support responses for tone, accuracy, and customer satisfaction. I classified responses based on customer emotions (e.g., frustration, satisfaction) and helped optimize the system by identifying areas for improvement. My role also included summarizing chat interactions to help refine the AI’s ability to handle complex issues.

2023

Text Data Annotation for AI-Powered Transcription Services

Internal Proprietary ToolingTextEntity Ner ClassificationTranslation Localization
In my role at Lausanne Business Solutions, I assisted with the transcription of audio recordings into text and annotated those texts for machine learning applications. This involved identifying key entities such as names, dates, and locations, and ensuring the transcriptions were properly formatted and structured. The labeled data supported AI models in improving transcription accuracy for diverse languages and contexts.

In my role at Lausanne Business Solutions, I assisted with the transcription of audio recordings into text and annotated those texts for machine learning applications. This involved identifying key entities such as names, dates, and locations, and ensuring the transcriptions were properly formatted and structured. The labeled data supported AI models in improving transcription accuracy for diverse languages and contexts.

2021

Language Data Annotation for Machine Learning Models

Internal Proprietary ToolingTextEntity Ner ClassificationText Summarization
As a Machine Learning Assistant for Welocalize, I contributed to the translation and localization of documents, ensuring accurate entity recognition (e.g., place names, dates, and product names) in various languages. I helped annotate text for machine learning models by labeling key information that assisted AI systems in understanding language nuances and regional differences, ultimately improving the system’s ability to deliver precise translations.

As a Machine Learning Assistant for Welocalize, I contributed to the translation and localization of documents, ensuring accurate entity recognition (e.g., place names, dates, and product names) in various languages. I helped annotate text for machine learning models by labeling key information that assisted AI systems in understanding language nuances and regional differences, ultimately improving the system’s ability to deliver precise translations.

2021

Education

V

Vrije Universiteit

Master of Science in Marketing, Marketing

Master of Science in Marketing
2006 - 2008
H

Haagse Hogeschool

Bachelor, Commercial Economics

Bachelor
2002 - 2006

Work History

C

Conversation24

Chat operator | Software support

Remote
2023 - Present
L

Lausanne Business Solutions

Machine Learning Assistant

Remote
2021 - Present