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Samuel Onowugbeda

AI Data Annotation & Search Evaluation Contributor

ExpertTelus

Key Skills

Software

TelusTelus

Top Subject Matter

AI search evaluation
LLM-based output rating
query intent analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

AI Data Annotation & Search Evaluation Contributor. Core strengths include Internal, Proprietary Tooling, and Telus. Education includes Master of Science, University of Edinburgh (2024) and Bachelor of Science, University of Manchester (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Expert

Labeling Experience

Telus

Freelance Data & Content Evaluation Specialist

TelusText
I completed evaluation, research, and structured data annotation tasks for global clients as a freelance specialist. I ensured accuracy and guideline compliance across multiple concurrent projects, consistently delivering high-quality results despite tight deadlines and shifting requirements. My focus was on structured evaluations and error reduction in outputs for search and content quality. • Managed large volumes of evaluation tasks for multiple clients • Delivered consistent, guideline-compliant outputs • Adapted quickly to changing requirements and formats • Maintained high attention to detail across repetitive workflows

I completed evaluation, research, and structured data annotation tasks for global clients as a freelance specialist. I ensured accuracy and guideline compliance across multiple concurrent projects, consistently delivering high-quality results despite tight deadlines and shifting requirements. My focus was on structured evaluations and error reduction in outputs for search and content quality. • Managed large volumes of evaluation tasks for multiple clients • Delivered consistent, guideline-compliant outputs • Adapted quickly to changing requirements and formats • Maintained high attention to detail across repetitive workflows

2022 - Present

AI Data Annotation & Search Evaluation Contributor

Text
I evaluated AI-generated search outputs for relevance, coherence, and user satisfaction following structured guidelines. The work included performing consistent side-by-side comparisons, rating outputs, and annotating ambiguous queries. I maintained accuracy, reduced annotation inconsistencies, and excelled in high-volume environments under tight deadlines. • Applied structured guidelines to rate and compare outputs • Reduced annotation inconsistencies by about 20% • Interpreted ambiguous or challenging search queries for appropriate output selection • Performed quality control checks on labeled data

I evaluated AI-generated search outputs for relevance, coherence, and user satisfaction following structured guidelines. The work included performing consistent side-by-side comparisons, rating outputs, and annotating ambiguous queries. I maintained accuracy, reduced annotation inconsistencies, and excelled in high-volume environments under tight deadlines. • Applied structured guidelines to rate and compare outputs • Reduced annotation inconsistencies by about 20% • Interpreted ambiguous or challenging search queries for appropriate output selection • Performed quality control checks on labeled data

2022 - Present

Education

U

University of Edinburgh

Master of Science, Computer Science

Master of Science
2023 - 2024
U

University of Manchester

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2022

Work History

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Samuel O. hasn’t added any Work History to their OpenTrain profile yet.