Glenn Alan

Key Skills

Software

Labelbox

Appen

Top Subject Matter

Large Language Models

Norwegian and English Content

AI Safety

Top Data Types

Text

Document

Audio

Image

Top Task Types

RLHF

Entity (NER) Classification

Classification

Transcription

Freelancer Overview

Senior Content Evaluator & Quality Lead, NordicAI Solutions. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, Appen, and Internal. Education includes Master of Arts, Universitetet i Oslo (2010) and Bachelor of Arts, Universitetet i Bergen (2008). AI-training focus includes data types such as Text, Document, and Audio and labeling workflows including RLHF, Entity (NER) Classification, and Classification.

Labeling Experience

Senior Content Evaluator & Quality Lead, NordicAI Solutions

LabelboxTextRLHF

Led the evaluation of large-scale Norwegian and English text datasets to enhance AI-generated content safety, helpfulness, and technical accuracy. Performed high-precision pairwise comparisons and ranking of model responses based on strict guidelines. Audited junior annotators' work to achieve a 99% accuracy rate in 'Gold Standard' datasets. • Managed annotation guideline refinement for increased clarity • Collaborated with machine learning engineers to reduce labeling ambiguity • Ensured continuous quality assurance throughout labeling • Specialized in truthfulness and harmlessness assessments

Led the evaluation of large-scale Norwegian and English text datasets to enhance AI-generated content safety, helpfulness, and technical accuracy. Performed high-precision pairwise comparisons and ranking of model responses based on strict guidelines. Audited junior annotators' work to achieve a 99% accuracy rate in 'Gold Standard' datasets. • Managed annotation guideline refinement for increased clarity • Collaborated with machine learning engineers to reduce labeling ambiguity • Ensured continuous quality assurance throughout labeling • Specialized in truthfulness and harmlessness assessments

2020 - Present

Linguistic Data Annotator, Appen/Telus International

AppenTextEntity Ner Classification

Performed intent classification, entity extraction, and sentiment labeling of text data for LLM training. Conducted large-scale data collection and preprocessing for NLP projects. Facilitated object labeling tasks across video and image datasets to support AI development. • Utilized industry-standard platforms for annotation tasks • Implemented counting and classification projects for various clients • Improved regional accuracy of translation tools through bias analysis • Worked with both audio and visual content for comprehensive annotation

Performed intent classification, entity extraction, and sentiment labeling of text data for LLM training. Conducted large-scale data collection and preprocessing for NLP projects. Facilitated object labeling tasks across video and image datasets to support AI development. • Utilized industry-standard platforms for annotation tasks • Implemented counting and classification projects for various clients • Improved regional accuracy of translation tools through bias analysis • Worked with both audio and visual content for comprehensive annotation

2014 - 2019

Data Quality Specialist, Schibsted Media Group

DocumentClassification

Managed categorization and tagging of large-scale digital archives to improve search engine optimization and data retrieval. Conducted rigorous quality assurance checks on structured data to ensure integrity and brand consistency. Evaluated user-generated content for compliance with community and safety protocols. • Developed workflow documentation to optimize team efficiency • Specialized in structured documentation and tag assignment • Collaborated cross-functionally for improved dataset quality • Performed rule-based content moderation and classification

Managed categorization and tagging of large-scale digital archives to improve search engine optimization and data retrieval. Conducted rigorous quality assurance checks on structured data to ensure integrity and brand consistency. Evaluated user-generated content for compliance with community and safety protocols. • Developed workflow documentation to optimize team efficiency • Specialized in structured documentation and tag assignment • Collaborated cross-functionally for improved dataset quality • Performed rule-based content moderation and classification

2010 - 2014

Research Assistant, University of Oslo, Dept. of Linguistics

AudioTranscription

Supported digitization and annotation of linguistic audio databases for academic research projects. Provided data evaluation and quality control for structural data analysis. Coordinated field data collection and completed primary transcription of various speech patterns. • Focused on linguistic dataset structuring and analysis • Ensured high accuracy in speech transcription and labeling • Supported graduate-level computational linguistics research • Maintained consistent documentation and archival standards

Supported digitization and annotation of linguistic audio databases for academic research projects. Provided data evaluation and quality control for structural data analysis. Coordinated field data collection and completed primary transcription of various speech patterns. • Focused on linguistic dataset structuring and analysis • Ensured high accuracy in speech transcription and labeling • Supported graduate-level computational linguistics research • Maintained consistent documentation and archival standards

2008 - 2010

Education

Work History