Christian Hubert

Key Skills

Software

Label Studio

AWS SageMaker

Mercor

Other

Top Subject Matter

Computer Vision

Nlp Domain Expertise

Multimodal AI

Top Data Types

Image

Audio

Text

Document

Top Task Types

Classification

Fine-tuning

Freelancer Overview

AI Data Labeling & Quality Assurance Specialist. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio, AWS SageMaker, and Internal. Education includes Doctor of Philosophy, University of Amsterdam (2015) and Doctor of Philosophy, University of Hamburg (2011). AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Classification and Fine-tuning.

Labeling Experience

AI Model Training Specialist

TextFine Tuning

Trained and fine-tuned AI models for biological text and molecular data interpretation, including genetics. Developed automated annotation workflows and collaborated on healthcare analytics and genomic prediction projects. Ensured data quality and improved transcription model accuracy. • Designed annotation pipelines for biomedical datasets • Improved data prep time and quality assurance • Supported AI-powered transcription model deployment • Communicated technical findings to stakeholders

Trained and fine-tuned AI models for biological text and molecular data interpretation, including genetics. Developed automated annotation workflows and collaborated on healthcare analytics and genomic prediction projects. Ensured data quality and improved transcription model accuracy. • Designed annotation pipelines for biomedical datasets • Improved data prep time and quality assurance • Supported AI-powered transcription model deployment • Communicated technical findings to stakeholders

2023 - Present

AI Data Labeling & Quality Assurance Specialist

Label StudioImageClassification

Oversaw the labeling and review of more than 200,000 image, text, and video samples for computer-vision and NLP projects, maintaining high accuracy and consistency. Developed annotation guidelines, built dashboards with Label Studio and AWS SageMaker, and collaborated with engineers to define taxonomies. Mentored annotators on best practices and performed quality assurance procedures. • Labeled and reviewed diverse data modalities, focusing on accuracy and throughput • Built real-time annotation monitoring dashboards • Reduced labeling errors by 42% through new consistency checks • Coordinated metadata structure design with AI engineers

Oversaw the labeling and review of more than 200,000 image, text, and video samples for computer-vision and NLP projects, maintaining high accuracy and consistency. Developed annotation guidelines, built dashboards with Label Studio and AWS SageMaker, and collaborated with engineers to define taxonomies. Mentored annotators on best practices and performed quality assurance procedures. • Labeled and reviewed diverse data modalities, focusing on accuracy and throughput • Built real-time annotation monitoring dashboards • Reduced labeling errors by 42% through new consistency checks • Coordinated metadata structure design with AI engineers

2020 - Present

Data Annotation Expert (Contract)

MercorAudioClassification

Audited and annotated multimodal AI training data, focusing on the precise labeling of audio and video sequences. Ensured project guidelines were met, delivered conversational training for LLMs, and supported lifecycle quality control. Maintained consistently high performance scores throughout the project. • Conducted comprehensive quality auditing on multimodal data • Delivered linguistic and conversational training for LLMs • Performed scene-level editing for audio/video sequences • Maintained strict adherence to annotation standards

Audited and annotated multimodal AI training data, focusing on the precise labeling of audio and video sequences. Ensured project guidelines were met, delivered conversational training for LLMs, and supported lifecycle quality control. Maintained consistently high performance scores throughout the project. • Conducted comprehensive quality auditing on multimodal data • Delivered linguistic and conversational training for LLMs • Performed scene-level editing for audio/video sequences • Maintained strict adherence to annotation standards

2022 - 2025

Research Assistant – Biology & AI Integration

OtherImageClassification

Annotated and preprocessed biological datasets to train predictive AI models for tasks like protein structure analysis. Assisted in model testing, data structuring, and result validation for research in computational biology. Used chat technologies for team communication and Python/R for dataset preparation. • Processed biological datasets for AI model training • Participated in model testing and result validation • Employed creative scripting to structure data • Contributed to academic research and presentations

Annotated and preprocessed biological datasets to train predictive AI models for tasks like protein structure analysis. Assisted in model testing, data structuring, and result validation for research in computational biology. Used chat technologies for team communication and Python/R for dataset preparation. • Processed biological datasets for AI model training • Participated in model testing and result validation • Employed creative scripting to structure data • Contributed to academic research and presentations

2018 - 2021

Biology & Data Science Associate

OtherImageClassification

Applied AI and data science methods to analyze biological and ecological image datasets for sustainability research. Designed experiments for species identification and biodiversity tracking using photo analysis. Collaborated with domain experts to enhance image recognition models in ecological projects. • Designed and executed image-based research experiments • Applied AI models to biodiversity and ecological data • Collaborated with multi-disciplinary teams on data projects • Presented findings on bioinformatics and data visualization

Applied AI and data science methods to analyze biological and ecological image datasets for sustainability research. Designed experiments for species identification and biodiversity tracking using photo analysis. Collaborated with domain experts to enhance image recognition models in ecological projects. • Designed and executed image-based research experiments • Applied AI models to biodiversity and ecological data • Collaborated with multi-disciplinary teams on data projects • Presented findings on bioinformatics and data visualization

2016 - 2018

Education

Work History