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Lucy Blyden

@lucyblyden

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Detail-driven AI content rater and language editor specializing in annotation and quality assurance.

United Kingdom

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What I'm looking for

I seek remote roles focused on high-quality data annotation, language editing, and QA within collaborative teams, where I can support ML pipelines and grow my skills.

I am an analytical AI content rater and language editor with hands-on experience in data collection, annotation, and evaluation across text, image, audio, and video modalities. I have supported large-scale machine learning pipelines through rigorous quality assurance, pairwise comparisons, and consistent data validation while collaborating remotely with cross-functional teams.

My background includes roles at Telus International, Nation Media Group, and the FAO where I improved labeling consistency, managed secure data workflows, and prepared datasets for model training. I bring native English proficiency, practical tool experience (Excel, Google Sheets, Label Studio, Figure Eight, AWS SageMaker Ground), and a strong commitment to accurate, culturally aware language work.

Experience

Work history, roles, and key accomplishments

AI Content Rater

Telus International

Feb 2024 - May 2025 (1 year 3 months)

Performed text and visual data annotation and pairwise evaluations to improve AI/NLP model outputs, ensuring high dataset quality and providing feedback to enhance labeling consistency.

Data Annotation Quality Assurance Audio Labeling NLP Excel Data Validation

English-Swahili Editor

Nation Media Group

Jun 2020 - Dec 2023 (3 years 6 months)

Evaluated and corrected linguistic datasets for AI training, ensured localisation and editorial compliance, and prepared and validated data for machine learning pipelines to ensure accuracy and consistency.

Localization Quality Assurance Spreadsheet Management Data Entry Google Drive Version Control

Content Moderator

Food and Agriculture Organization

Sep 2013 - Apr 2020 (6 years 7 months)

Monitored and reviewed user-generated content, tagged and categorized multimedia for ML training, and supported media/communication efforts for community and agricultural campaigns with attention to policy compliance.