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Telus
Appen
Text
Document
Image
Audio
Classification
Segmentation
TranscriptionAI Data Annotation & Evaluation Specialist | TELUS International AI (AI Community). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Telus, Appen, and CrowdGen. Education includes Higher National Diploma, Federal Polytechnic Ede (2022). AI-training focus includes data types such as Text, Document, and Image and labeling workflows including Evaluation, Rating, and Classification.
TelusTextReviewed and validated AI-generated responses to ensure factual accuracy, safety, and contextual relevance for downstream model behavior. • Assessed response quality against project guidelines • Reported annotation inconsistencies and model behavior issues • Maintained accuracy while handling large-scale annotation volume • Performed NER and keyphrase extraction on text datasets
TelusDocumentClassificationClassified digital content for moderation and policy compliance, applying labels suitable for AI training and monitoring. • Applied sentiment analysis labels to reviews and social media data • Annotated document structures for AI-powered document intelligence systems • Ensured labeled outputs aligned with moderation and compliance requirements • Contributed to content taxonomy and structured annotation workflows
AppenTextEvaluated conversational AI outputs for helpfulness, cultural relevance, and compliance to ensure responses met defined quality criteria. • Created hundreds of test prompts across multiple domains • Ranked AI responses using provided evaluation metrics • Delivered high-volume evaluation work while maintaining consistent accuracy • Applied project guidelines for scoring and ordering outputs
AppenTextAssessed search engine results to judge user intent satisfaction and overall content quality for relevance and localization. • Reviewed mobile and desktop search outputs • Evaluated result relevance based on localization requirements • Provided analytical feedback to improve search ranking performance • Supported search quality improvement through structured assessments
TextClassificationCategorized social media and review content to support sentiment analysis and related topic-oriented modeling. • Applied text classification labels for AI monitoring projects • Organized content to improve contextual understanding for analytics • Used structured labeling guidelines for consistent dataset creation • Contributed labeled text data for training and evaluation workflows
Higher National Diploma, Computer Science
Content Classification Contributor
Text Classification and Topic Modeling Contributor
