Edeh Peter

Key Skills

Software

Appen

Telus

Label Studio

Top Subject Matter

Nlp Domain Expertise

Dutch language

Dutch voice assistants

Top Data Types

Text

Audio

Document

Top Task Types

Entity Ner Classification

Classification

Emotion Recognition

Freelancer Overview

NLP Annotator and Project Lead. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Telus, and Label Studio. Education includes Bachelor of Science, Aptech University (2025). AI-training focus includes data types such as Text, Audio, and Document and labeling workflows including Entity (NER) Classification, Evaluation, and Rating.

Labeling Experience

Data Quality Analyst - Audio Annotation

TelusAudio

Reviewed and validated Dutch audio data annotations used in voice assistant AI systems. Identified and corrected labeling errors to boost model performance. Modified guidelines to address Dutch linguistic and cultural specifics. • Improved model accuracy by 15%. • Conducted dataset validation and annotation checks. • Advised on guideline adaptation for cultural relevancy. • Worked under contract during a defined project timeframe.

Reviewed and validated Dutch audio data annotations used in voice assistant AI systems. Identified and corrected labeling errors to boost model performance. Modified guidelines to address Dutch linguistic and cultural specifics. • Improved model accuracy by 15%. • Conducted dataset validation and annotation checks. • Advised on guideline adaptation for cultural relevancy. • Worked under contract during a defined project timeframe.

2024 - 2025

NLP Annotator and Project Lead

AppenTextEntity Ner Classification

Oversaw and participated in the annotation of Dutch language text for NLP projects. Tasks included sentiment analysis and named entity recognition, using industry-standard annotation software. Maintained a 98% consistency rate across quality assurance checks. • Annotated approximately 10,000 text examples monthly. • Trained new annotators on sentiment and entity guidelines. • Collaborated internationally for project delivery. • Ensured quality via quarterly reviews.

Oversaw and participated in the annotation of Dutch language text for NLP projects. Tasks included sentiment analysis and named entity recognition, using industry-standard annotation software. Maintained a 98% consistency rate across quality assurance checks. • Annotated approximately 10,000 text examples monthly. • Trained new annotators on sentiment and entity guidelines. • Collaborated internationally for project delivery. • Ensured quality via quarterly reviews.

2024 - 2024

Freelance Document Annotation Specialist

Label StudioDocumentClassification

Annotated legal and economic documents for classification and category development. Developed a structured taxonomy for Dutch e-commerce text data. Delivered over 200 hours of annotation services to startup clients. • Specialized in Dutch legal/economic domain. • Facilitated accurate data categorization for AI training. • Managed diverse short-term annotation projects. • Maintained client-specific annotation standards.

Annotated legal and economic documents for classification and category development. Developed a structured taxonomy for Dutch e-commerce text data. Delivered over 200 hours of annotation services to startup clients. • Specialized in Dutch legal/economic domain. • Facilitated accurate data categorization for AI training. • Managed diverse short-term annotation projects. • Maintained client-specific annotation standards.

2023 - 2024

Dutch Parliamentary Speech Annotation Project

Label StudioTextEmotion Recognition

Annotated over 5,000 Dutch parliamentary speech transcripts for sentiment analysis. Applied consistent labeling criteria to evaluate emotional tone and sentiment in political discourse. Contributed to structured datasets used for training and evaluating sentiment AI models. • Utilized annotation guidelines for emotion labeling. • Focused on Dutch language government data. • Worked with large-scale transcript datasets. • Part of team-oriented sentiment annotation project.

Annotated over 5,000 Dutch parliamentary speech transcripts for sentiment analysis. Applied consistent labeling criteria to evaluate emotional tone and sentiment in political discourse. Contributed to structured datasets used for training and evaluating sentiment AI models. • Utilized annotation guidelines for emotion labeling. • Focused on Dutch language government data. • Worked with large-scale transcript datasets. • Part of team-oriented sentiment annotation project.

2023 - 2023

Education

Work History